AI Benchmark Engineer · Agentic AI Systems · MLOps & LLMOps · Software Engineer
Software Engineer with 5 years of progressive experience architecting agentic AI evaluation systems, multi-agent benchmark frameworks, and production MLOps/LLMOps pipelines.
Deep expertise in Python, Docker, automated verification logic, and LLM-based reasoning evaluation. Built Harbor-format multi-agent task packages with reward-hacking-resistant verifiers.
Practitioner of AI coding agents (Claude Code, GitHub Copilot, Cursor) — delivering measurable outcomes at every engagement.
Five years of progressive engineering across AI evaluation, computer vision, data engineering, and applied ML.
Real-time computer vision inspection system for Indian Railways NWR zone — deployed at production scale with sub-200ms per-frame latency.
Every project ships with real metrics — not vanity numbers.
From benchmark design to production deployment — the complete toolchain.
Contributions to the research community alongside engineering practice.
Multidisciplinary background spanning AI, data science, financial engineering, and business.
Verified expertise across cloud, AI, and security domains.
Actively seeking opportunities in AI/ML Engineering, Agentic Systems, LLMOps, and Benchmark Engineering — remote or hybrid, globally.