Behnam Asadi
Architect at JSWD Architekten GmbH & Co. KG
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolBehnam Asadi is an applied machine learning scientist with a decade of experience blending generative AI research and production validation, currently focused on RAG models and LLM agents at TD. He builds automated evaluation pipelines—LLM-as-a-Judge, embedding metrics, and synthetic prompt generators—and has shipped practical tooling like a PDF–Markdown round-trip evaluator to quantify document conversion fidelity. Concurrently a research associate at York University, he advanced image and text generation/compression (Deep Fourier Machines, transformer-based text compression) and achieved notable gains over JPEG and gzip baselines. Comfortable moving models from theory to deployable services (Dockerized crime-forecasting with a 7% test error), he pairs strong academic foundations from York and Sharif with hands-on engineering across computer vision, NLP, and time-series. Not obvious from the title: his work has produced sizable empirical improvements (e.g., 25.5 FID improvement and 2x text compression vs. gzip) that reflect a rare mix of signal-processing insight and pragmatic system-building.
11 years of coding experience
1 year of employment as a software developer
Abitur, ENGINEERING, Abitur, ENGINEERING at Leibniz Universität HannoverBachelor, Architecture, Bachelor, Architecture at Universität der Künste Berlin
German, English, Persian, French
Github Skills (37)
animation10
imu10
structure-from-motion10
rendering9
geometry9
python9
object-oriented-programming9
computer-graphics9
colmap9
cpp9
computer-vision9
language-model8
ros8
slam8
cpp-concepts8
Programming languages (6)
Github contributions (5)
behnamasadi/Filters
Apr 2019 - Aug 2022
Contributions:10 commits, 13 pushes in 3 years 4 months
behnamasadi/data_structure_algorithm
Mar 2020 - Sep 2025
Contributions:64 pushes, 1 branch in 5 years 7 months
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