Onkar Apte
I build systems that automate real-world workflows.
Selected work
- Reduced system latency by ~30% by replacing polling with WebSockets.
- Built an execution engine that converts natural language into backend workflows.
- Designed data pipelines processing real-world video and sensor data.
Currently finishing my master’s in Computer Science at the University of Colorado Boulder.
I work on systems that need to be fast, reliable, and make decisions under imperfect data.
Curent focus
- ML-driven automation systems for operational workflows.
- Document understanding (pipelines) using retrieval-based methods.
