Wilhelm Ågren
Data Software Engineer
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolWilhelm Ågren is a Data Software Engineer based in Stockholm with eight years of experience building data platforms and research-grade ML solutions. He combines hands-on engineering—data lakes, Spark, Airflow, Kafka—and applied research from his M.Sc.Eng at KTH, where he explored self-supervised learning on MEG data. At Handelsbanken he translated cutting-edge tech into proofs-of-concept across quantum computing, generative AI, graph databases and blockchains, and now applies that interdisciplinary perspective at Utbetalningsmyndigheten. He contributes free open-source software in his spare time, signaling a bias for practical tooling and reproducible work. Colleagues value his ability to explain complex analytics to nontechnical stakeholders while still shipping robust data infrastructure. An unassuming but persistent tinkerer, he pairs academic depth with production-focused delivery.
8 years of coding experience
3 years of employment as a software developer
KTH Royal Institute of TechnologyNatural Sciences, Natural Sciences at Erik Dahlbergsgymnasiet
Github Skills (96)
toolbox10
deep-learning10
riot-games-api10
pytorch10
yahoo9
parquet9
financial-data9
discord-bot9
in-memory9
java9
yahoo-finance-api8
api8
synthetic-data8
apache-arrow8
synthetic8
Programming languages (9)
Github contributions (5)
willeagren/autograd
Feb 2022 - May 2022
Automatic computation of analytical gradients. Yes, that's it! :heart:
Contributions:38 PRs, 131 pushes, 31 branches in 2 months
directed-acyclic-graphpytorchstatisticspythoncomputation
wilhelmagren/finq
Oct 2023 - Jan 2025
🔬 Quantitative analysis and management for financial applications.
Contributions:4 releases, 14 reviews, 106 PRs in 1 year 3 months
analysisdata-analysisdata-sciencefinanceinvestment
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