Technical Lead · Pune, IN · 9 yrs shipping
I run engineering for Incentivate, an enterprise sales-commission platform — a team of six, four product suites, and nine years of Python, Flask, Redis and ClickHouse. The last two years have gone into agentic AI that actually runs in production, not demos.
I also ship products of my own — a live EV-charging map for India, a tool that measures how LLMs talk about brands, and an arena where autonomous AI agents compete.
Aurochs Software / Incentivate calculates sales commissions for enterprises in pharma, insurance, manufacturing and financial services. The hard part isn't the math — it's the orchestration: data pipelines, validations, approvals, audit trails, and reporting that has to hold up when every client's plan is different.
Build the platform so our implementation team can set up each client through configuration instead of my team writing one-off code. SQL-driven dashboards rendered in sandboxed iframes (a pattern I proposed that became the standard dashboarding mechanism), YAML-defined data pipelines, a no-code plan builder.
I also push the engineering culture forward, deliberately and in order: static analysis first, then the CI to enforce it, then the tests. The timeline below is verifiable from git history, which is the way I like my claims.
Shipped for real, not prototypes
Plus a Product Hunt-launched publishing tool, a UI library, a Chrome extension and more — all projects →
Engineering notes from real builds
Honest depth, not a keyword wall
B.E. Computer Science, VIIT Pune, 2017