Skills
I am an ML engineer with a strong academic foundation and proven industrial experience. I hold a B.Sc. and an M.Sc. in Electrical Engineering and a Ph.D. in Communications Systems, with deep expertise in Machine Learning, Deep Learning, and Computational Neuroscience. As Chief Technology Officer at Avir, I lead teams to build and ship AI-based solutions. I work in a proactive, collaborative way and keep expanding my skills; I take ownership and aim to deliver consistently.
| Fields of Interest | Machine Learning (11+ years), Deep learning (8+ years), Signal Processing, Computational Neuroscience (5+ years), Medical Imaging (1+ years), MLOps (familiar) |
| Programming Languages | Python (8+ years), Rust (junior) MATLAB (10+ years), C++ (small projects) |
| Programming Skills | Git (5+ years), Docker (5+ years), Test Driven Development (1+ years), Redis, CI/CD (familiar) |
| ML Frameworks | PyTorch (6+ years), TensorFlow (small projects) |
| Deep Learning | Computer Vision (image, video analysis), Classification, Segmentation, Detection, Generative AI (familiar), Quantization, Pruning (familiar), NAS (familiar), Active Learning (familiar), Weak Supervision (familiar), Model Serving (3+ years) |
| LLMs / Agents | LLM/VLM finetuning, Agentic programming (Google ADK), RAG (Weaviate, ChromaDB) |
| Backend Frameworks | Flask (small projects), FastAPI (small projects) |
| Frontend | PyQt (small projects), HTML&CSS (familiar) |
| Research & Leadership | Research (academic writing, publications, open source), Team leadership, Technical direction (solution design, roadmap), Mentoring |