Harsh Sharma is a Data/ML Engineer with 9 years of experience building large-scale data infrastructure and ML solutions, currently focused on Apache Iceberg, PySpark and Airflow at Carbon Arc. He blends production-grade engineering—optimizing ETL for multi-terabyte workloads and reducing costs—with ML work in forecasting, graph neural networks, and computer vision from research at Boston University. Past roles include driving $6M annual transportation savings via optimization at Ola Electric and cutting grid peak load by 30% with EV charging demand models at WeaveGrid, demonstrating a strong mix of impact-driven modeling and systems thinking. Comfortable across the stack, he has shipped real-time dashboards, Kafka-enabled apps, and Iceberg/Delta Lake pipelines while mentoring students as a TA. Based in Cupertino, he pairs an IIT Guwahati engineering physics background with an MS in AI from Boston University, and maintains hands-on curiosity in open-source research projects.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Engineering Physics with minor in Electronics and Communications, Bachelor of Technology, Engineering Physics with minor in Electronics and Communications at Indian Institute of Technology, Guwahati
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Boston University
Contributions:236 pushes, 1 branch in 3 years 6 months
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