Summary
Saroj Mishra is a Full Stack AI Engineer with 9 years of experience building production-grade AI systems, cloud-native backends, and scalable data pipelines. He specializes in agentic multi-agent platforms, RAG pipelines, vector search, and serverless AWS architectures that automate SMB workflows like email management and decision intelligence. At Maxmodus he architected zero-to-one solutions and hierarchical agent orchestration; previously at Goldman Sachs he modernized lakehouse ETL, improved reliability for $25B+/day systems, and led CI/CD and security remediation efforts. His research formalizes agentic RAG as sequential decision-making and highlights risks like hallucination propagation—work published on arXiv—complementing earlier IEEE-published deep learning results in masked face recognition. Based in Dallas with an MS in Computer Science, he thrives where AI research meets distributed infrastructure to deliver measurable operational impact.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of North Dakota
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Tribhuvan University
English