ML engineer and applied AI researcher, currently doing my M.Sc. in Data Science & AI at Saarland University. I work across the full pipeline (dataset construction, model benchmarking, evaluation design) in NLP and computer vision, with a bias toward measurements you can reproduce and systems that know when to distrust themselves.
Saarbrücken, Germany · axwolf13.github.io · akshay57ax@gmail.com · LinkedIn
Real-time yoga pose estimation with a hybrid MoveNet architecture, first-author, Sādhanā (Indian Academy of Sciences, Springer, 2025). A Thunder-train, Lightning-infer split that classifies 11 asanas at 99% accuracy while holding 30+ FPS on consumer hardware.
Paper (DOI) · Code · Live browser demo
- arabic-doc-triage-research: Benchmarking Arabic OCR (Surya, PaddleOCR) and Arabic→German translation on an 8 GB laptop GPU. KITAB-Bench evaluation, confidence-based failure routing and the safety signals a triage pipeline needs before its output reaches a human decision. Write-up
- dodi-analysis: DODI, a deterministic index scoring how hard a platform's Terms of Service works to hide that "Buy now" means "revocable licence". Ten platforms across 2015–2024, validated against ToS;DR. Deployed as a live scorer (dodi-web: FastAPI, Docker, CI). Write-up
- Shadow-Correction-DaS-Project: Quantitative study of piracy as a market signal for the Data and Society seminar.
Long-form write-ups of benchmarks and reproductions live at axwolf13.github.io/writing, published when there's something real to show.
Open to Werkstudent and internship roles in ML, data science and applied AI from August 2026.