I’m a Machine Learning Engineer and Data Scientist with experience building production-grade AI systems across startups and large tech companies. I’ve worked on NLP, document intelligence, and large-scale data pipelines, including OCR + LLM workflows, ML model evaluation, and cloud-native infrastructure using AWS, Kubernetes, and event-driven architectures. Previously, I’ve held roles at companies like Amazon and Spectrum Effect, and I recently completed a Master’s in Data Science at UC Berkeley. I thrive at the intersection of data, product, and engineering—turning messy, real-world data into reliable, impactful systems.More...