I build data platforms that power ML systems in production.
Shravan Kulkarni · Bengaluru, India
From real-world sensor data to ML-ready platforms — including autonomous systems.
What I actually do
Turning complex data challenges into scalable infrastructure.
ML Data Platforms
High-throughput pipelines that transform raw sensor data into ML-ready datasets.
Computer Vision Pipelines
End-to-end annotation and training infrastructure for camera and LiDAR data.
Automotive Systems
ADAS data processing and event analysis tools for vehicle development teams.
Full-Stack Tooling
Internal platforms and dashboards that accelerate engineering workflows.
Built platforms processing TB-scale camera, LiDAR, and time-series data
Delivered annotation infrastructure used across Mercedes-Benz business units
Led teams spanning frontend, backend, and data engineering
Architected systems from startup scrappiness to enterprise scale
How I approach building
Principles I've learned across startups and enterprises.
Platform thinking
I build reusable foundations, not one-off solutions.
Speed with quality
Startup agility meets enterprise rigor.
End-to-end ownership
From architecture to deployment to stakeholder alignment.
I've built systems at Mercedes-Benz that process millions of test miles and co-founded a startup with end-to-end ownership from architecture to production. Both taught me that great systems come from understanding the problem deeply—then building just enough to solve it well.