I am a Software Engineer III at Google, specializing in building production-grade AI/ML systems that operate reliably in complex, real-world environments. With around five years of experience, my work focuses on the intersection of applied machine learning, large-scale distributed systems, and Generative AI. Technical Focus: • Languages: Python, C++, Java • AI/ML & Frameworks: PyTorch, Deep Learning, Computer Vision, Generative AI • Optimization & Deployment: Edge AI, Model Optimization (Inference & Latency), Distributed Systems Professional Background: • Google: Currently focused on AI/ML infrastructure and scalable solutions. • Netradyne: Previously served as an ML Scientist, where I developed and deployed real-time computer vision and perception systems for automotive safety. These systems operated under strict latency constraints, requiring deep optimization of inference pipelines and cross-functional collaboration with hardware and backend teams. • NVIDIA & Research: During my M.Tech at IIT Hyderabad, I interned at NVIDIA, focusing on distributed deep learning pipelines and large-scale training workflows. • Foundational Engineering: My early career as a Backend Software Engineer provided me with a rigorous foundation in distributed systems and building high-availability services. Highlights: • Contributing to patented innovations in AI/ML. • Optimizing large-scale training and inference for production efficiency. • Designing architectures that bridge the gap between theoretical research and reliable, real-world deployment.