Summary
Apoorv Sharma is a Machine Learning Engineer II with nine years of experience building scalable ML and AI systems at Amazon and AWS, specializing in NLP, time series forecasting, and large-scale trend detection pipelines. He has a proven track record of designing production-grade services—such as a RAG-based trend detection platform using Fargate, Lambdas, and Step Functions—and improving code quality through high-coverage, unit-tested packages. Comfortable bridging research and engineering, he applies data-driven thinking and big-picture insight to translate complex models (BERT, LLMs) into impactful product features for millions of users. His resilience and adaptability are reflected in a global education and life story—moving 7,500 miles at 17 and completing a master’s during COVID—alongside a penchant for early-morning forest runs that fuel creative problem solving.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Washington
Bachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at Purdue University