I’m a Machine Learning Researcher in AI for Genomics, currently based in Paris, working at the intersection of deep learning, biological data, and computational pipelines.
My recent work includes:
- Building deep learning models for short-read structural variant (SV) calling
- Developing scalable ML infrastructure (cloud, orchestration, CI/CD)
- Experimenting with LLM-powered scientific agents using MCP
- Applying ML to real-world biological and biomedical datasets
| Programming Languages | Python, Java, Dart |
| Machine Learning & Deep Learning | PyTorch, scikit-learn |
| Data Analysis & Visualization | Pandas, Seaborn |
| Cloud & CI/CD | AWS, Docker |
| Backend Development | FastAPI, Flask, MCP |
| Frontend Development | Flutter |
-
🧬 Archon
A CNN-based model for detecting genomic structural variants from short-read sequencing data. -
🏦 HamrahShahrPlus Mobile Banking App (CityDi)
Developed a Flutter-based mobile app with 1.5M+ users across Android, iOS, and web. -
🚚 Vehicle Overload Detection System
Built backend with Flask and MongoDB and developed a Windows desktop application with Flutter.
