Summary
Prakash Chaudhary is a Machine Learning Engineer based in San Francisco with 8 years of experience and over 5 years focused on designing and deploying scalable end-to-end ML systems. He builds production-grade AI agents and human-in-the-loop pipelines that convert LLMs into measurable business impact, including a LangGraph multi-agent orchestrator that recovered $15M ARR through 32% full automation. His work spans recommender systems, RAG-based quality tooling, and multi-modal models for shopping and retail forecasting, often improving catalog match rates and annotation efficiency. Prakash combines a strong robotics and electronics background with rigorous academic training (MS in Computer Science, 4.0) to bridge embedded systems thinking with large-scale ML. He also teaches and mentors—running computer vision courses and supporting AI fellowships—so he’s comfortable translating research into practical, team-friendly solutions. An often overlooked detail: he applies robotic control and signal-processing instincts to data pipelines and model orchestration, which helps him optimize real-world reliability and automation.
8 years of coding experience
7 years of employment as a software developer
Micromasters, Statistics and Data Science, B, Micromasters, Statistics and Data Science, B at MITx on edX
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at The University of Alabama in Huntsville
Bachelor of Engineering (B.E.), Electronics and Communications, First Division, Bachelor of Engineering (B.E.), Electronics and Communications, First Division at Tribhuvan University, IOE, Pulchowk Campus
+2, Science, +2, Science at V.S. Niketan Higher Secondary School
Crash Course in AI, Artificial Intelligence, Crash Course in AI, Artificial Intelligence at NAAMII
Nepali, English, Hindi