Summary
Satyam Mittal is a Machine Learning Engineer with nine years of experience building scalable AI and software systems, currently architecting agentic GenAI products and multi-agent orchestration at Chewy. He blends a strong fintech software-engineering background with an M.S. thesis on heuristic search and optimization, allowing him to design production-ready solutions that balance research rigor and operational scale. At Toyota and startups he engineered multimodal data pipelines, dynamic vector indexing, and LLM observability, demonstrating expertise across retrieval, RAG, and inference-time optimization. An active communicator and mentor, he regularly delivers workshops and guest lectures on MCP, A2A and Agentic-RAG while maintaining hands-on POCs and notebooks in his public AI/ML GitHub repository. He’s comfortable moving projects from PoC to production—designing LLD/HLD, evaluation pipelines, and monitoring for applied GenAI systems. Based in Plano, TX, Satyam combines academic research, developer advocacy, and pragmatic engineering to solve real-world customer problems with generative AI.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) || Major - Computer Science & Engineering, Bachelor of Engineering (B.E.) || Major - Computer Science & Engineering at Sant Longowal Institute of Engineering and Technology
Master of Science(M.S.) Computer Science, Master of Science(M.S.) Computer Science at California State University, Fresno
English, Hindi