Summary
Ashwin Patil is an AI Architect and engineer with a decade of experience designing and productionizing GenAI, MLOps, data engineering, and web application architectures from the Bay Area. He specializes in bridging data science and application teams, building end-to-end ML platforms and RAG pipelines that cut time-to-production from months to days. His work spans cloud-native stacks (GCP, AWS), orchestration (Airflow, Cloud Workflows), vector databases and embedding-driven search, and infrastructure-as-code to deliver scalable, monitored model deployments. At Reveal HealthTech he automated PDF information extraction and LLM summarization, and at Manifold he helped build a patented platform for continuous training, monitoring, and explainability. Comfortable moving between hands-on coding (Python, PySpark) and platform design, he has a track record of converting research prototypes into reliable production services for healthcare and fintech. An early career in systems and Linux administration underpins his pragmatic, operations-first approach to ML reliability and observability.
10 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Mumbai University Mumbai
Master of Computer Applications (MCA), Master of Computer Applications (MCA) at CMJ University