Narek Alvandian
Founding Engineer at Planeto
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolNarek Alvandian is a founder and hands-on engineer with eight years of experience building full-stack systems, ML models, and infrastructure for energy and research-focused ventures from Geneva. He co-founded and served as Founding Engineer at Planeto, where he led backend, frontend, devops and LLM workflows to accelerate the energy transition, and has research experience at EPFL and Harvard aligning multi-modal neural networks to the human brain. Previously he cut processing time and infrastructure costs as a data scientist at Whalemap and has practical computer vision and ML engineering experience across startups and enterprises. Comfortable moving between research and production, he combines rigorous data-science training from EPFL and HSE with a track record of shipping pragmatic, cost-effective solutions. An active practitioner in reproducible data work, his public contributions include introductory NumPy and Jupyter Notebook materials that reflect a focus on clear documentation and teaching.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree with Honors, Computer Science and Business, Bachelor's degree with Honors, Computer Science and Business at Higher School of EconomicsExchange, Mathematics, Exchange, Mathematics at Ludwig-Maximilians-Universität MünchenExchange, Exchange at Rotterdam Business SchoolSummer School, Brains, Minds and Machines, Summer School, Brains, Minds and Machines at Massachusetts Institute of TechnologyMaster's degree, Data Science, Master's degree, Data Science at Ecole polytechnique fédérale de Lausanne
English, Armenian, Russian, French
Github Skills (4)
jupyter-notebook10
numpy10
data-analysis9
python9
Programming languages (2)
Github contributions (5)
hse-ds/iad-intro-ds
Jan 2022 - Jun 2022
Role in this project:
Data Scientist
Data ScientistContributions:9 commits, 12 pushes in 4 months
Contributions summary:Narek's contributions primarily focus on documenting and explaining the use of Jupyter Notebook commands, and providing an introductory demonstration of the NumPy library. They included the addition of code examples demonstrating array creation, manipulation, and basic mathematical operations within the NumPy framework. Furthermore, the user added a homework assignment demonstrating their understanding of fundamental NumPy functions and their usage in problem-solving.
epfl-ada/ada-2021-project-name
Dec 2021 - Dec 2021
Contributions:2 PRs, 57 pushes, 5 branches in 14 days
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