About
Background, interests, education, and experience.
Tejas Mahajan is a software engineer specializing in large-scale data systems and the infrastructure that runs them, with a focus on production-grade data platforms and real-time backends for compute-heavy, latency-sensitive domains.
Currently at Nimble, I work on the data platform of an autonomous warehouse robotics platform: engineering data pipelines, cost-aware compute layers, and real-time streaming services that turn raw fleet, fulfillment, and robot telemetry into the operator-facing surfaces that run the warehouse floor.
Previously at MerQube, I architected the equity and options data ingestion systems and unified data access layers powering complex index computation workflows.
My background spans distributed systems, cloud-native infrastructure, and end-to-end ML deployment, from research-grade training and fine tuning deep learning models to deploying in resource constrained production systems.
I'm particularly interested in building intelligent, reliable systems at the intersection of data infrastructure, robotics, and autonomous decision-making.