Summary
Sri Paladugula is an ML architect with a decade of industry experience focused on designing and productionizing deep learning systems across video analytics, NLP, speech, and LLMs. Currently leading Machine Learning Innovation at PepsiCo after driving model-efficiency and generative AI initiatives at Jio Platforms, he has engineered quantization, pruning, LoRA/QLoRA workflows and Triton/TensorRT deployments that yielded up to 32x throughput and 16x memory reductions. He combines hands-on model engineering (YOLO, Whisper, Transformer embeddings) with systems-level optimizations like dynamic batching, paged attention and speculative decoding to meet enterprise latency and cost targets. His background includes applied research for safe-city and in-cabin monitoring products, a filed patent on abandoned-object tracking, and building a sports analytics engine that introduced a novel “pressure index” metric. Comfortable spanning research, deployment and platformization, he brings an uncommon mix of deep technical rigor and product-minded impact. Based in Hyderabad, he leverages cross-domain experience from mechanical engineering to complex ML systems.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Andhra University