Chetan Somwanshi

I am an AI/ML engineer focused on building scalable, production-grade systems that bridge model development and production engineering.

During an internship at Infosys Springboard I refactored legacy code into modular Python packages, implemented automated hyperparameter tuning, and exposed models through REST APIs with strict Pydantic validation.

My projects include an end-to-end Predictive Logistics Engine with Docker, GitHub Actions, DVC and MLflow for full lineage tracking, a production-ready RAG pipeline using ChromaDB and Llama-3 for low-latency inference, and a real-time multi-threat surveillance system optimized for CPU using YOLOv8.

I emphasize reliable MLOps practices (CI/CD, containerization, data versioning, experiment tracking) and resilient engineering (fault-tolerant UIs, decoupled alerting) to ensure models deliver measurable value in production.