Advancing renewable energy efficiently
With dvlp.energy, you can quickly and easily find the right sites for your solar, wind or storage projects — and keep track of your entire project pipeline at all times.

The people behind dvlp.energy

Oliver has over 10 years of experience in the energy industry in various roles at E.ON, the IEA and most recently as a project manager at Apricum. His expertise focuses on the areas of photovoltaics and energy storage. He has a doctorate on the economic efficiency of energy storage systems and regularly presents at international conferences.

Oliwia is a software developer with 10 years of experience developing innovative software systems for companies such as EasyPark, Zalando and Fandom. Her focus is on cloud computing and data-intensive applications. At dvlp.energy, Oliwia manages front-end and back-end product development.

Fabio worked as a consultant and senior advisor along the photovoltaic value chain on international projects for 4 years and proactively helped shape the European solar industry. Fabio had previously founded a successful company as a spin-off from ETH Zurich, which developed and commercialized membranes for batteries.

Martin is an experienced software developer with a strong background in infrastructure and cloud. With over 10 years of professional experience, he has supported both major market leaders (Grafana, Zalando, Allegro) and early-stage SaaS startups (Egnyte, Shortlist).

Dario is a full-stack developer with 10 years of experience at Parkdepot, Easypark and Here Technologies, among others. After studying computer science in Hamburg and Milan, Dario specialized in the areas of embedded systems, mapping/GIS and cloud computing and works at dvlp on the back and front end.

Yun-Yu is a passionate geodata expert and specializes in programming code for data cleansing, analysis, and maintenance. She studied at Humboldt University and Lund University and is currently completing her master's degree in Geoinformation Science and Geodesy at TU Berlin.

Sergei is a data analyst with a background in the energy industry and his passion is software-based transformation of complex data sets and machine learning. In addition to his work at dvlp.energy macht, Sergei is studying data science at the University of Europe for Applied Science in Potsdam.

Vivek is an experienced data scientist and software engineer with a background in astronomy. His experience includes database management and web development, and he has a master's degree in astronomy. He is interested in databases and design.

With more than 7 years of professional experience, Conor specializes in SaaS development, data processing and system design. Conor has previously worked at Vision R, Toast and Amazon and has a degree in Computational Problem Solving and Software Development from Dublin City University.

Johan is a software developer and specializes in interactive maps and AI engineering. In addition to working for Adobe, SAP, Jovo and the Cornelsen contract, he has programmed an app to track ticket checks. Johan is studying informatics at the Technical University of Berlin.

Katsiaryna is an experienced full-stack software engineer with 5 years of specialized Python development experience for B2B applications and over 10 years of experience in the tech industry. She has a bachelor's degree in software and computer science and is an AWS certified developer.

Kira supports the team as a working student in the areas of marketing and data analysis. After completing her bachelor's degree in industrial engineering, she is currently continuing her master's degree at TU Berlin. Through her experience at Enpal and Sono Motors, she has worked on sustainable energy solutions and innovative business models.

Joel is a working student who supports the team with their data tasks. He holds a Bachelor's degree in IT Systems Engineering from the HPI in Potsdam, with a thesis focusing on a web-based geographic information system. He is currently pursuing a Master's degree in Computer Science at the TU Berlin.

Sophia is committed to data science for environmental and social good since her studies at TU Berlin and NYU. During research in Deep Q-Learning for energy supply as well as her project involvement in conscious logistics at Siemens Energy, she recognized the role of analytical methods in climate and urban planning. Today, she develops statistical methods for risk and sustainability in geoecological contexts.

Eva specializes in data engineering with a background in computer science and practical experience in fintech, drone logistics, and retail. She focusses in designing and building robust data pipelines that transform complex data challenges into scalable solutions.

Aleksandra has experience in geospatial analysis, GIS, and data science with a focus on renewable energy. She holds a Master's degree in Spatial Planning from the Warsaw University of Technology, and specializes in using spatial data to support location-based decision-making processes.

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