In-Person event
Gurobi Connect Oslo
Wednesday, June 17
10:00 AM - 2:30 PM
Forskningsveien 1, 0373, Oslo
In-Person event
Gurobi Connect Oslo
Wednesday, June 17
10:00 AM - 2:30 PM
Forskningsveien 1, 0373, Oslo
In-Person event
Gurobi Connect Oslo
Wednesday, June 17
10:00 AM - 2:30 PM
Forskningsveien 1, 0373, Oslo
Gurobi Connect Oslo - Mobility & Logistics edition, hosted with SINTEF
Are you interested in learning how mathematical optimization is transforming mobility and logistics in an increasingly complex world? Join us June 17 at Gurobi Connect Oslo – Mobility & Logistics Edition, hosted in collaboration with SINTEF, for a focused half-day event that will explore how optimization drives smarter, more efficient decision-making across logistics and transportation.
The program will highlight real-world applications—including fruit industry logistics and railway optimization—to showcase how these techniques deliver robust, scalable, and explainable solutions. Discover how mathematical optimization fits within today’s AI and technology landscape, and how it complements data-driven approaches to tackle some of the most pressing mobility and logistics challenges.
Gurobi Connect Oslo - Mobility & Logistics edition, hosted with SINTEF
Are you interested in learning how mathematical optimization is transforming mobility and logistics in an increasingly complex world? Join us June 17 at Gurobi Connect Oslo – Mobility & Logistics Edition, hosted in collaboration with SINTEF, for a focused half-day event that will explore how optimization drives smarter, more efficient decision-making across logistics and transportation.
The program will highlight real-world applications—including fruit industry logistics and railway optimization—to showcase how these techniques deliver robust, scalable, and explainable solutions. Discover how mathematical optimization fits within today’s AI and technology landscape, and how it complements data-driven approaches to tackle some of the most pressing mobility and logistics challenges.
Gurobi Connect Oslo - Mobility & Logistics edition, hosted with SINTEF
Are you interested in learning how mathematical optimization is transforming mobility and logistics in an increasingly complex world? Join us June 17 at Gurobi Connect Oslo – Mobility & Logistics Edition, hosted in collaboration with SINTEF, for a focused half-day event that will explore how optimization drives smarter, more efficient decision-making across logistics and transportation.
The program will highlight real-world applications—including fruit industry logistics and railway optimization—to showcase how these techniques deliver robust, scalable, and explainable solutions. Discover how mathematical optimization fits within today’s AI and technology landscape, and how it complements data-driven approaches to tackle some of the most pressing mobility and logistics challenges.
Agenda
10:00: Welcome Remarks
10:15: Bama Case Study: From Projects to Products: Building Decision-Support Tools for Fresh Produce Logistics
BAMA is Norway's leading distributor and wholesaler of fresh produce, managing a complex supply chain that connects Norwegian and international suppliers with customers across the country. Within BAMA, the Data & AI team has shifted from a traditional project-delivery model to a functional team within a broader product organization, contributing to cross-functional teams that build and operate strategic products.
This talk highlights two products that apply optimization to improve logistics decision-making, developed at different stages of our organizational maturity: SmartTransport, now in production, and Flow Management, currently under development. We will share how each product evolved from discovery through implementation, along with the business impact, challenges, and lessons learned in embedding optimization into day-to-day decisions.
10:45: Coffee Break
11:00: Posten Bring Case Study: Designing Districts: Where Optimality Meets Robustness
11:30: ETH Zurich Case Study: Optimization in Railway Scheduling: model, results, and insights
This talk reviews some recent implementation and models for optimization in railways scheduling (timetabling and real time rescheduling), which have been designed and implemented in collaboration with Swiss Federal Railways (SBB), aiming at improving capacity and flexibility of railway operations.
We also report on the usage of explainable AI to guide practical geographic decompositions for large‑scale timetabling, showing that fewer, larger areas can speed up the computation by simplifying the coordination.
12:00: Lunch
13:00: SINTEF Session - From theory to practice: this is how we support Norwegian companies
SINTEF is one of Europe’s leading independent research organizations, turning cutting-edge science into practical innovations that create value for industry and society. In Norway, we’ve helped thousands of companies become more efficient, more resilient, and more sustainable. At SINTEF’s Optimization group, we do this by developing state-of-the-art mathematical models and algorithms, often powered by tools like Gurobi. In this talk, we’ll share a few examples of how we’ve made a real difference and how your company could be next.
13:30: Coffee Break
13:45: Gurobi Session - Mathematical Optimization in the AI Landscape
As AI technologies continue to transform how organizations make decisions, it is increasingly important to understand the role of mathematical optimization within the AI landscape. This presentation explores how optimization complements other AI techniques, including machine learning and generative AI, to enhance end-to-end decision systems. We examine the core characteristics of optimization and discuss how they enable trustworthy decision-making. Finally, we showcase our latest efforts to combine generative AI with optimization through the Gurobi Intelligence Hub, home to Gurobot, our AI-powered assistant, as well as early versions of our Explainer and Modeler agents and local MCP. We demonstrate how generative AI can make optimization more accessible to a broader audience.
*Agenda is subject to slight changes without prior notice.
When?
Wednesday, June 17
10:00 AM to 2:30 PM
Where?
Forskningsveien 1, 0373, Oslo, Norway
Please note that seats are limited, so restrictions may apply.
*Accommodation or airport transfers are not included.
Agenda
10:00: Welcome Remarks
10:15: Bama Case Study: From Projects to Products: Building Decision-Support Tools for Fresh Produce Logistics
BAMA is Norway's leading distributor and wholesaler of fresh produce, managing a complex supply chain that connects Norwegian and international suppliers with customers across the country. Within BAMA, the Data & AI team has shifted from a traditional project-delivery model to a functional team within a broader product organization, contributing to cross-functional teams that build and operate strategic products.
This talk highlights two products that apply optimization to improve logistics decision-making, developed at different stages of our organizational maturity: SmartTransport, now in production, and Flow Management, currently under development. We will share how each product evolved from discovery through implementation, along with the business impact, challenges, and lessons learned in embedding optimization into day-to-day decisions.
10:45: Coffee Break
11:00: Posten Bring Case Study: Designing Districts: Where Optimality Meets Robustness
11:30: ETH Zurich Case Study: Optimization in Railway Scheduling: model, results, and insights
This talk reviews some recent implementation and models for optimization in railways scheduling (timetabling and real time rescheduling), which have been designed and implemented in collaboration with Swiss Federal Railways (SBB), aiming at improving capacity and flexibility of railway operations.
We also report on the usage of explainable AI to guide practical geographic decompositions for large‑scale timetabling, showing that fewer, larger areas can speed up the computation by simplifying the coordination.
12:00: Lunch
13:00: SINTEF Session - From theory to practice: this is how we support Norwegian companies
SINTEF is one of Europe’s leading independent research organizations, turning cutting-edge science into practical innovations that create value for industry and society. In Norway, we’ve helped thousands of companies become more efficient, more resilient, and more sustainable. At SINTEF’s Optimization group, we do this by developing state-of-the-art mathematical models and algorithms, often powered by tools like Gurobi. In this talk, we’ll share a few examples of how we’ve made a real difference and how your company could be next.
13:30: Coffee Break
13:45: Gurobi Session - Mathematical Optimization in the AI Landscape
As AI technologies continue to transform how organizations make decisions, it is increasingly important to understand the role of mathematical optimization within the AI landscape. This presentation explores how optimization complements other AI techniques, including machine learning and generative AI, to enhance end-to-end decision systems. We examine the core characteristics of optimization and discuss how they enable trustworthy decision-making. Finally, we showcase our latest efforts to combine generative AI with optimization through the Gurobi Intelligence Hub, home to Gurobot, our AI-powered assistant, as well as early versions of our Explainer and Modeler agents and local MCP. We demonstrate how generative AI can make optimization more accessible to a broader audience.
*Agenda is subject to slight changes without prior notice.
When?
Wednesday, June 17
10:00 AM to 2:30 PM
Where?
Forskningsveien 1, 0373, Oslo, Norway
Please note that seats are limited, so restrictions may apply.
*Accommodation or airport transfers are not included.
Agenda
10:00: Welcome Remarks
10:15: Bama Case Study: From Projects to Products: Building Decision-Support Tools for Fresh Produce Logistics
BAMA is Norway's leading distributor and wholesaler of fresh produce, managing a complex supply chain that connects Norwegian and international suppliers with customers across the country. Within BAMA, the Data & AI team has shifted from a traditional project-delivery model to a functional team within a broader product organization, contributing to cross-functional teams that build and operate strategic products.
This talk highlights two products that apply optimization to improve logistics decision-making, developed at different stages of our organizational maturity: SmartTransport, now in production, and Flow Management, currently under development. We will share how each product evolved from discovery through implementation, along with the business impact, challenges, and lessons learned in embedding optimization into day-to-day decisions.
10:45: Coffee Break
11:00: Posten Bring Case Study: Designing Districts: Where Optimality Meets Robustness
11:30: ETH Zurich Case Study: Optimization in Railway Scheduling: model, results, and insights
This talk reviews some recent implementation and models for optimization in railways scheduling (timetabling and real time rescheduling), which have been designed and implemented in collaboration with Swiss Federal Railways (SBB), aiming at improving capacity and flexibility of railway operations.
We also report on the usage of explainable AI to guide practical geographic decompositions for large‑scale timetabling, showing that fewer, larger areas can speed up the computation by simplifying the coordination.
12:00: Lunch
13:00: SINTEF Session - From theory to practice: this is how we support Norwegian companies
SINTEF is one of Europe’s leading independent research organizations, turning cutting-edge science into practical innovations that create value for industry and society. In Norway, we’ve helped thousands of companies become more efficient, more resilient, and more sustainable. At SINTEF’s Optimization group, we do this by developing state-of-the-art mathematical models and algorithms, often powered by tools like Gurobi. In this talk, we’ll share a few examples of how we’ve made a real difference and how your company could be next.
13:30: Coffee Break
13:45: Gurobi Session - Mathematical Optimization in the AI Landscape
As AI technologies continue to transform how organizations make decisions, it is increasingly important to understand the role of mathematical optimization within the AI landscape. This presentation explores how optimization complements other AI techniques, including machine learning and generative AI, to enhance end-to-end decision systems. We examine the core characteristics of optimization and discuss how they enable trustworthy decision-making. Finally, we showcase our latest efforts to combine generative AI with optimization through the Gurobi Intelligence Hub, home to Gurobot, our AI-powered assistant, as well as early versions of our Explainer and Modeler agents and local MCP. We demonstrate how generative AI can make optimization more accessible to a broader audience.
*Agenda is subject to slight changes without prior notice.
When?
Wednesday, June 17
10:00 AM to 2:30 PM
Where?
Forskningsveien 1, 0373, Oslo, Norway
Please note that seats are limited, so restrictions may apply.
*Accommodation or airport transfers are not included.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Lars Christian Ek Folkestad
Data Scientist
Lars is a data scientist at BAMA, working primarily with developing decision-support systems for supply chain applications. He holds an MSc in Industrial Economics and Technology Management from the Norwegian University of Science and Technology (NTNU); his thesis focused on metaheuristics for planning car-sharing recharging and relocation under uncertainty. Prior to joining BAMA, he worked as a management consultant at Bain & Company.
Brede Sørøy
Data Scientist
Brede is a data scientist at BAMA, where he develops optimization-based solutions for transport and logistics planning in the supply chain. He holds an MSc in Industrial Economics and Technology Management from Norwegian University of Science and Technology (NTNU). His academic work has focused on the integrated project and personnel scheduling problem for the construction industry, with an emphasis on mixed-integer programming and metaheuristics. He is currently finalizing his PhD at NTNU, where he works on methods to improve upper and lower bounds for this problem.
Tarald Bjørdal Langan
Operations Researcher
Tarald Bjørdal Langan is heading the Operations Research department in Posten Bring, and has a 14 year experience in analysis and improvement projects in Posten Bring. Tarald has a MSc in Industrial Engineering from NTNU, where he wrote his masters thesis on stochastic optimization in the salmon farming industry.
Charmae Mendoza
Technical Account Manager
Dr. Charmae Franchesca Mendoza earned her Ph.D. in Electrical Engineering from Vienna University of Technology (TU Wien), Austria. Her research focused on applying mathematical optimization and deep reinforcement learning to tackle complex problems in telecommunications, such as clustering, node (de-)activation, and resource allocation. She also brings valuable international experience, having been born and raised in the Philippines before working as an engineer in the telecommunications industry in Japan, and later pursuing graduate studies in Spain and Austria. She enjoys exploring different cultures, taking long walks, discovering new kanmidokoro (traditional Japanese sweet cafés), and spending time with family and friends.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Data Scientist
Lars Christian Ek Folkestad
Lars is a data scientist at BAMA, working primarily with developing decision-support systems for supply chain applications. He holds an MSc in Industrial Economics and Technology Management from the Norwegian University of Science and Technology (NTNU); his thesis focused on metaheuristics for planning car-sharing recharging and relocation under uncertainty. Prior to joining BAMA, he worked as a management consultant at Bain & Company.
Data Scientist
Brede Sørøy
Brede is a data scientist at BAMA, where he develops optimization-based solutions for transport and logistics planning in the supply chain. He holds an MSc in Industrial Economics and Technology Management from Norwegian University of Science and Technology (NTNU). His academic work has focused on the integrated project and personnel scheduling problem for the construction industry, with an emphasis on mixed-integer programming and metaheuristics. He is currently finalizing his PhD at NTNU, where he works on methods to improve upper and lower bounds for this problem.
Operations Researcher
Tarald Bjørdal Langan
Tarald Bjørdal Langan is heading the Operations Research department in Posten Bring, and has a 14 year experience in analysis and improvement projects in Posten Bring. Tarald has a MSc in Industrial Engineering from NTNU, where he wrote his masters thesis on stochastic optimization in the salmon farming industry.
Technical Account Manager
Charmae Mendoza
Dr. Charmae Franchesca Mendoza earned her Ph.D. in Electrical Engineering from Vienna University of Technology (TU Wien), Austria. Her research focused on applying mathematical optimization and deep reinforcement learning to tackle complex problems in telecommunications, such as clustering, node (de-)activation, and resource allocation. She also brings valuable international experience, having been born and raised in the Philippines before working as an engineer in the telecommunications industry in Japan, and later pursuing graduate studies in Spain and Austria. She enjoys exploring different cultures, taking long walks, discovering new kanmidokoro (traditional Japanese sweet cafés), and spending time with family and friends.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Lars Christian Ek Folkestad
Data Scientist
Lars is a data scientist at BAMA, working primarily with developing decision-support systems for supply chain applications. He holds an MSc in Industrial Economics and Technology Management from the Norwegian University of Science and Technology (NTNU); his thesis focused on metaheuristics for planning car-sharing recharging and relocation under uncertainty. Prior to joining BAMA, he worked as a management consultant at Bain & Company.
Brede Sørøy
Data Scientist
Brede is a data scientist at BAMA, where he develops optimization-based solutions for transport and logistics planning in the supply chain. He holds an MSc in Industrial Economics and Technology Management from Norwegian University of Science and Technology (NTNU). His academic work has focused on the integrated project and personnel scheduling problem for the construction industry, with an emphasis on mixed-integer programming and metaheuristics. He is currently finalizing his PhD at NTNU, where he works on methods to improve upper and lower bounds for this problem.
Tarald Bjørdal Langan
Operations Researcher
Tarald Bjørdal Langan is heading the Operations Research department in Posten Bring, and has a 14 year experience in analysis and improvement projects in Posten Bring. Tarald has a MSc in Industrial Engineering from NTNU, where he wrote his masters thesis on stochastic optimization in the salmon farming industry.
Charmae Mendoza
Technical Account Manager
Dr. Charmae Franchesca Mendoza earned her Ph.D. in Electrical Engineering from Vienna University of Technology (TU Wien), Austria. Her research focused on applying mathematical optimization and deep reinforcement learning to tackle complex problems in telecommunications, such as clustering, node (de-)activation, and resource allocation. She also brings valuable international experience, having been born and raised in the Philippines before working as an engineer in the telecommunications industry in Japan, and later pursuing graduate studies in Spain and Austria. She enjoys exploring different cultures, taking long walks, discovering new kanmidokoro (traditional Japanese sweet cafés), and spending time with family and friends.
register
Secure Your Spot Today!
Don’t miss out on real-world optimization insights—secure your spot today!
register
Secure Your Spot Today!
Don’t miss out on real-world optimization insights—secure your spot today!
register
Secure Your Spot Today!
Don’t miss out on real-world optimization insights—secure your spot today!
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Account Executive, Renewals-Japan
Pawit Singcornrum
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
