Summary
Venkatarao Rebba is a Machine Learning Engineer with 8 years of hands-on experience building production-grade AI systems, currently at Meta in Sunnyvale. He has a strong background in applied ML and data engineering from roles at Ford, ASU EdPlus, Cerium Systems, and Vassar Labs, delivering measurable impact such as a 10% uplift in student outcomes and 30% savings in verification costs. His toolkit spans deep learning (3D-CNN, LSTM, AutoEncoders), signal processing, Vertex AI pipelines, cloud functions, and end-to-end deployment with Docker, Flask, Nginx and scalable data pipelines. He pairs an MS in Robotics and Autonomous Systems from ASU with practical AIML training from IIIT Hyderabad, bridging robotics research and real-world productization. Notably, he accelerated training throughput by 250% through pipeline optimization and has applied GenAI and advanced statistical models to public EV initiatives at Ford. Based in the Bay Area, he focuses on AI that “earns its keep” by translating models into reliable, cost-saving production services.
8 years of coding experience
9 years of employment as a software developer
Master's degree Robotics and Automation Engineering, Master's degree Robotics and Automation Engineering at Arizona State University
Bachelor of Technology (B.Tech.) Electrical Electronic and Communications Engineering Technology/Technician, Bachelor of Technology (B.Tech.) Electrical Electronic and Communications Engineering Technology/Technician at RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES
AIML Course Artificial Intelligence, AIML Course Artificial Intelligence at IIIT Hyderabad
English, Telugu