I’ve spent eleven years building backend and distributed systems. Most of that time has been spent on the same problem in different shapes: data arriving faster than it can be stored, and queries that need to stay fast as the data grows.
Right now I’m building an industrial IoT platform: an edge gateway reading PLCs and sensors over Modbus and OPC UA, event-driven ingestion on AWS, and a time-series layer on TimescaleDB that runs the same way on cloud or on premise.
Before that I was at Vividly, a US-based CPG SaaS company, working on Rust services for forecasting and budgeting. Profiling with flamegraphs, parallelizing pipelines with Rayon, tuning SQLx queries against Postgres. Earlier I led a team of eight delivering real-time video analytics across a smart-city deployment, where the constraint was thousands of concurrent streams and latency that couldn’t slip.
I work in Rust, Go and Python.

What I’m useful for:

Teams that have outgrown their ingestion path, or are about to. Usually the symptom is a database that was fine last year, queries that have started timing out, or a pipeline that drops data under load and nobody’s sure where.
I take project work and retainers. Based in Indore, working remotely.