Ravi Ramesh Arvind is a Staff AI Engineer at Starbridge.ai, based in New York. With six years of experience in artificial intelligence, he focuses on research and development of machine‑learning solutions. He earned a Bachelor of Engineering in Computer Science from PES Institute of Technology and a Master’s in Computer Science with a specialization in Machine Learning from the Georgia Institute of Technology. At Starbridge, Ravi drives innovative AI projects, applying his deep technical expertise to build scalable models and advanced analytics pipelines. His background blends rigorous academic training with hands‑on engineering, positioning him as a key contributor to the company’s cutting‑edge AI initiatives.

Reinforcement learning, Transfer learning, Few-shot learning, Deep learning, Production ML tooling, Research-to-production ML workflows, Applied RL/vision problems, PyTorch, Scalable model development and analytics pipelines

Projects: 1) Random-Network-Distillation — PyTorch implementation and benchmarking of intrinsic-reward RL exploration for continuous-control tasks; 2) PyTorch-Matching-Networks — few-shot/transfer learning prototypes and fine-tuning pipelines; 3) Production ML tooling at Starbridge — building reproducible training/eval pipelines, model deployment and analytics integrations using Python, PyTorch and Jupyter.