Summary
Shiva Yarradla is a Machine Learning Research Engineer with nine years of experience building production-grade ML systems across NLP, computer vision, and large-scale data pipelines. He has repeatedly taken projects from zero to one—designing chatbots, OCR pipelines and agentic LLM workflows—and shipped them in cloud-native microservices using AWS, Kubernetes, and Spark. At Arkifi he led development of hybrid semantic search, zero-shot dense retrieval and agentic workflows for a finance automation product that attracted top-tier seed funding. His background spans research and applied roles at Zoom, Deloitte and BeamX, where he improved model performance and inference efficiency through techniques like distillation, quantization and distributed training. Comfortable bridging research and engineering, he pairs deep NLP expertise with hands-on MLOps and a knack for cost- and latency-optimizations that scale in production.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Osmania University
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
Telugu, Hindi, English