Sparsh Sarode is an AI/ML researcher and software engineer with seven years of experience building cloud-native systems and production ML tooling. He has contributed to text-to-SQL SaaS features and SQL compiler/optimizer enhancements at Waii, and has a track record at Cloudera delivering PaaS solutions for Spark and Airflow. At Stevens Institute of Technology’s ScAI Lab he researches parsimonious learning for edge devices using reinforcement learning and contributes to open-source ML tooling such as Hugging Face’s PEFT. Comfortable across AWS/Azure, Docker, and Kubernetes, he moves models from research experiments to optimized, deployable services. Based in Austin, he combines startup founding experience with enterprise-grade engineering discipline and a practical focus on query performance and resource-efficient ML. Check his GitHub (sparsh2) for experimental repos that reflect his emphasis on efficient models and deployment.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at RV College Of Engineering
Master's degree Computer Science, Master's degree Computer Science at Stevens Institute of Technology
Contributions:2 PRs, 12 pushes, 2 branches in 7 months
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