Summary
Venkata Palepu is an AI Full Stack Engineer with nine years of experience building cloud-native ML and deep learning systems, currently working at Auditoria.AI in San Jose. He combines hands-on engineering with research rigor—publishing multiple papers, filing patents, and optimizing serverless and distributed training to improve efficiency and cut costs by up to 30%. At Tata Consultancy Services he designed SLA-aware, FaaS-based architectures and novel distributed training approaches that yielded 1.2x–5.5x improvements in training efficiency. He also has strong full-stack and data-pipeline experience from roles at Cerner and in academic projects, and teaches software development and AI courses at Georgia Tech. Comfortable across AWS, Sagemaker, Lambda, EFS and DynamoDB, he brings a systems-first mindset to accelerating ML workloads in production. An achiever academically (top ranks in undergrad, MS from Georgia Tech) and practically (research + patents), he blends production delivery with contributions to the serverless/ML research community.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4/4, Master of Science - MS, Computer Science, 4/4 at Georgia Institute of Technology
Bachelor of Technology - BTech, Computer Science, 9.54 | Secured 5th rank in university, Bachelor of Technology - BTech, Computer Science, 9.54 | Secured 5th rank in university at AMRITA VISHWA VIDYAPEETHAM
Intermediate, MPC, 95.6%, Intermediate, MPC, 95.6% at FIITJEE