Summary
Rahul Bakshee is a Senior Machine Learning Engineer and independent AI researcher with 13+ years of experience building production ML, deep learning, and GenAI systems across healthcare, pharma, and large enterprises. He combines hands-on expertise in hybrid retrieval, RAG, agentic AI, and large-scale recommendation systems with practical MLOps skills on GCP, AWS, and Azure to support 50M+ daily events and low-latency GPU inference. Rahul has led platforms that delivered multimillion-dollar revenue impact, significant engagement lifts, and sustained cost savings while protecting critical revenue streams through adherence, churn, and fraud solutions. He operates at a staff-level scope—owning roadmaps, experiments, and engineering standards—while mentoring senior engineers and collaborating with VP/SVP stakeholders to turn ambiguous business problems into measurable AI products. Notably, he blends research-grade knowledge of MCP and ADK with production pragmatism, optimizing systems for latency, reliability, and cost in real-world deployments.
10 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Information Science/Studies, Master of Science - MS, Information Science/Studies at Trine University
Rajiv Gandhi Proudyogiki Vishwavidyalaya
English, Hindi