Pune listening to Hiromi — Spiral · Dota 2 playing Dota 2

Technical Lead · Pune, IN · 9 yrs shipping

Backend & AI systems,
built to last.

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.

5–6ENGINEERS LED
4PRODUCT SUITES
9 yrsSHIPPING SOFTWARE
2 yrsAGENTIC AI IN PROD

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.

How I approach it

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.

2022
Enterprise SSO — SAML integrations for large-client onboarding.
2023
Introduced SonarQube — static analysis and quality gating.
2023
Drove ClickHouse adoption for high-volume analytical reporting.
2024
Early product AI — "Ask AI" and generated reporting.
2025
Jenkins CI + automated tests, where there were none.
2026
Agentic AI in production — agents, not demos.
02

Side projects

Shipped for real, not prototypes

Plus a Product Hunt-launched publishing tool, a UI library, a Chrome extension and more — all projects →

03

Writing

Engineering notes from real builds

All writing →

04

Stack

Honest depth, not a keyword wall

Daily drivers

  • Python Flask, SQLAlchemy, MongoEngine — nine years, the core of everything 9 YRS
  • Redis + RQ Queues, workers, schedulers — the orchestration backbone
  • ClickHouse OLAP, SQL-first pipelines, chdb, parquet — drove its adoption at Incentivate
  • Vue 3 / Quasar Dashboards, builder UIs, data-heavy tables

AI systems

  • Agent frameworks Agno, LangChain — agentic workflows running in production IN PROD
  • Model platforms AWS Bedrock, Gemini, OpenRouter
  • Patterns NL→SQL agents, AI report generation, RAG, MCP, prompt systems, eval loops

Infra & delivery

  • Data stores MySQL, PostgreSQL, MongoDB
  • Cloud & runtime AWS EC2/S3, Lambda, Cloud Run, Docker, Nginx, PM2
  • Quality Jenkins CI, SonarQube, GitHub flow — plus React and Tailwind when needed
05

Path

B.E. Computer Science, VIIT Pune, 2017

2023 — present Technical Lead — Backend & AI Systems · Aurochs Software / Incentivate Lead a team of 5–6 engineers across four product suites of an enterprise incentive-compensation platform. Own architecture and roadmap with the CTO; drive the platform's AI direction.
2020 — 2023 Solutions Consultant · Incentius Client-facing full-stack work across healthcare, pharma, fintech and eCommerce. Led a Web3 NFT marketplace build (Flask + Quasar + Solidity) with a small team.
2017 — 2020 Solutions Developer · Incentius Search systems (Elasticsearch), BI dashboards, data pipelines, mapping tools. Python, Vue, MySQL.
2014 — 2017 Co-Founder · Mystery Monks Early tech and operations during the startup phase, alongside college.