Summary
Somesh Bhaskar is a Senior Software Engineer based in Bengaluru with nine years of experience building high-performance web and IoT systems for industrial automation, real-time analytics, and anomaly detection. He combines strong front-end skills in Angular with Node.js backends, dockerized edge deployments, and MQTT streaming to deliver platforms that handle millions of datapoints with low latency. At Siemens he shipped features that cut data-prep and model configuration times, rendered 1M+ datapoint graphs under a second, and helped migrate ML modules from Haskell to Python—work that earned him Siemens' IP Samman Award in 2024. He has a practical ML foundation from a Udacity Deep Learning nanodegree and applies that alongside production engineering to accelerate model training and inference workflows. Known for optimizing large UI hierarchies and automating CI/CD for industrial hubs, he brings both hands-on coding and team upskilling to drive digital transformation. Outside core projects, he experiments with web-facing ML prototypes (self-described “ML noob” on GitHub), reflecting a continual curiosity to bridge learning and production impact.
9 years of coding experience
3 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Nanodegree, Deep learning, Nanodegree, Deep learning at Udacity