Summary
Krishnakumar Chandran is a software engineer with eight years of experience building robotics, computer vision, and industrial AI systems for Fortune 500 customers and autonomous-vehicle startups. He designs and implements end-to-end telemetry and time-series pipelines, real-time vehicle state agents, and ROS/ROS2 integrations, combining low-level C++/sockets work with cloud-native services like AWS Timestream, ClickHouse, S3, and Grafana. His background spans embedded sensing and estimation (EKF-based trackers, FLIR integration) to scalable data platforms that have reduced preprocessing and annotation effort by up to 90%. Comfortable across the stack, he has led SaaS product development, CI/CD for containerized deployments, and data migrations between specialized stores. Based in South San Francisco, he brings an uncommon mix of aerospace engineering training and hands-on industrial data engineering that makes him fluent in both machine dynamics and production-scale telemetry.
8 years of coding experience
9 years of employment as a software developer
Master of Engineering - MEng Aerospace Engineering, Master of Engineering - MEng Aerospace Engineering at University of Cincinnati
Nanodegree Computer vision, Nanodegree Computer vision at Udacity
Bachelor of Engineering - BE Aerospace Engineering, Bachelor of Engineering - BE Aerospace Engineering at Rajalakshmi engineering college