Summary
Harsha Chivukula is a Machine Learning Engineer in the San Francisco Bay Area with 11 years of experience building scalable systems and ML-driven products. A Carnegie Mellon alum in Electrical and Computer Engineering, he has progressed from internships to senior engineering and lead roles at Salesforce before joining Meta, blending deep engineering rigor with applied machine learning. His background spans distributed systems, large-scale software engineering, and production ML deployments, making him comfortable across model development and infrastructure. Known for bridging research-quality thinking with product delivery, he routinely translates complex algorithms into reliable, production-ready services. An engineer who values both architecture and hands-on coding, he brings a track record of steady growth and impact at major tech organizations.
11 years of coding experience
7 years of employment as a software developer
International Baccalaureate Diploma Programme, International Baccalaureate Diploma Programme at Anglo-Chinese School (Independent)
Master of Science (MS) Electrical and Computer Engineering, Master of Science (MS) Electrical and Computer Engineering at Carnegie Mellon University
English, Hindi, Telugu, German