Mechanical engineer by training (IIT Kanpur, M.Tech + B.Tech). 15 years across automotive R&D - ICE systems, EV modelling & simulation, battery electrochemistry, and ML/AI tooling for engineering workflows.
The consistent thread: build the infrastructure that makes the problem tractable. Not just solve the current instance, but reduce the cost of solving the next one.
Currently: Simulation Lead, EMEA at A123 Systems (Germany) — translating OEM requirements into simulation scope across DE/IN/CN teams, with final validation authority for all EMEA deliverables.
The Arc
IIT Kanpur → TVS → Hero → Mercedes-Benz → Caterpillar → Volvo → A123. Not a straight line, but a consistent pattern: go deep into a domain, build the infrastructure, then move to a harder problem.
The AI tooling work isn’t a career pivot — it’s the same instinct applied to the analysis workflow itself. The ANSYS APDL macros that cut pre-processing time by 50% in 2012 and the FAISS-based codebase indexer in 2023 are the same kind of move: the workflow is an engineering problem, and it should be treated like one.
→ Career — timeline, education, patents