Suraj Shelke

I am an AI/ML engineer with a foundation in chemical engineering and practical experience in security incident response and large-scale LLM data work. I combine applied machine learning, data engineering, and hands-on security operations to deliver reliable, high-quality outcomes.

At Accenture I monitored, triaged, and investigated security alerts using Microsoft Sentinel and Microsoft Defender, handled L1–L2 incidents including malware and phishing, and coordinated containment and remediation with endpoint and identity teams within SLA.

As a freelance AI contractor for Turing, I contributed to SFT, Code Interpreter, code evaluation, and RLMF pipelines for enterprise clients, reviewing and generating technical data, evaluating model reasoning and code correctness, and providing structured QA aligned with client rubrics.

My projects include battery remaining useful life estimation using Random Forests and TensorFlow, molecular similarity search with RDKit, and smoker-status prediction with XGBoost and Optuna; I bring strong Python skills and a track record of leadership and endurance from extracurricular achievements.