Saeed Hadikhanloo
Senior Software Engineer at HrFlow.ai
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolSaeed Hadikhanloo is a Senior Software Engineer based in Paris who combines a PhD in Applied Mathematics with 8 years of hands-on experience building scalable data infrastructure and SaaS products. He bridges theory and production—applying research on mean field games and energy-market modeling to practical systems engineering, from ETL pipelines and AWS architectures to full-stack web services. His toolkit spans Python, TypeScript, Django, Rails, FastAPI, Kubernetes, Airflow and observability with Datadog/Grafana, having led end-to-end development and monitoring at Streem Energy and contributed to ML-centric projects at Tweag. A former IMO silver medalist with publications cited by DeepMind, he also contributes to open-source ML tooling—adding practical matrix factorization and visualization examples to the Hasktorch ecosystem. Colleagues describe him as a mathematically rigorous engineer who prefers elegant, production-ready solutions over academic abstractions. He now applies that blend of research pedigree and pragmatic delivery at HrFlow.ai.
8 years of coding experience
7 years of employment as a software developer
Master's degree Applied Mathematics, Master's degree Applied Mathematics at Université Paris CitéDoctor of Philosophy - PhD Computational and Applied Mathematics, Doctor of Philosophy - PhD Computational and Applied Mathematics at Université Paris Dauphine - PSLMaster 2 Optimisation Game Theory and Economy Modeling, Master 2 Optimisation Game Theory and Economy Modeling at Pierre and Marie Curie UniversityDouble Bachelor degree Pure Mathematics Pure Physics, Double Bachelor degree Pure Mathematics Pure Physics at Sharif University of Technology
Persian, English, French
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (13)
tensorrt10
matrix-factorization10
machine-learning10
tensor10
tensorflow10
operation10
linear-algebra10
haskell8
homebrew6
macos6
postgresql6
database6
ruby-on-rails6
Programming languages (6)
Github contributions (5)
hasktorch/hasktorch
Jan 2020 - Feb 2020
Tensors and neural networks in Haskell
Role in this project:
ML Engineer
ML EngineerContributions:17 commits, 5 PRs, 17 comments in 1 month
Contributions summary:Saeed contributed several examples showcasing matrix factorization techniques within the Hasktorch framework. They implemented a matrix factorization example, and an example for a sparse rating matrix which is a more practical application. Furthermore, the user refactored the code with several updates. They also created an example demonstrating the gradient field and its visualization, employing VegaLite for plotting.
haskellneural-networksmachine-learningneural-networktensors
tweag/connectedcar
Mar 2019 - May 2019
Contributions:61 commits, 1 branch in 1 month
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