Aerospace to AI to fintech — not a career plan,
just a 21 year old being curious.
I build what needs building, learn what the problem demands,
and move on to the next hard thing.
Amazon listing intelligence. One URL → full market analysis. Grades listings across market sizing, AI search visibility, fake review detection, and Rufus readiness by running three LLMs in parallel. Built and shipped solo.
Full-stack AI analytics platform built solo at Daimler Trucks. Nobody asked me to build a full product — I just did. Ingests 10 years of CRM data, three live ML modules, used by sales agents and VP of Sales daily.
PM at a deepfake detection startup. Owned 3 production features end-to-end. Built agentic outreach pipelines with LangChain and n8n. Designed adversarial prompt suites. Ran enterprise discovery calls. Fast, ambiguous, zero handholding — exactly how I like it.
Research intern at India's Defence R&D Organisation. Built automated MATLAB pipelines for residual life estimation of aircraft wings from Flight Data Recorder datasets — replacing a fully manual process in a safety-critical environment where errors cost lives, not just bugs.
Across Daimler and Authenta, ran controlled model experiments comparing Random Forest, Logistic Regression, and Deep Learning architectures on real CRM data. Built Power BI dashboards, Python pipelines, and ML models that went straight into production use. CFA Level 1 candidate because numbers matter.
Final year Mech Engg student at VIT Chennai with a minor in AI and ML. My career doesn't follow a straight line — and I've stopped pretending it should.
Started in aerospace at DRDO. Ended up at Daimler Trucks building a full-stack AI platform nobody asked me to build — just because the problem was there. Now PM at an AI safety startup.
Outside work I run long distance, vlog everything, and go on very long walks. Happiest when moving, exploring, or pointing a camera at something interesting.