Summary
Rogers John is a seasoned engineering and product leader with 12 years of experience building cloud-native, enterprise-grade AI systems and a PhD in computer science from the University of Wisconsin–Madison. As co-founder and CTO of DataChat, he architected a scalable microservice platform and a multi-agent generative AI framework that helped the company earn Gartner recognition in 2024 and close Fortune 100 lighthouse accounts. He combines deep research credentials with hands-on delivery—shipping production-ready GenAI products, instituting agile release trains, and reducing release cadence from monthly to weekly. His work on HITL feedback, RAG/vector search grounding, and LLM-as-a-Judge self-correction cut failure rates over 60% and halved evaluation cycles. Now directing Agentic AI engineering and product at Mews, he continues to bridge R&D and go-to-market strategy while scaling global teams and integrations across AWS, GCP, and Snowflake. An inventor with multiple issued patents and frequent industry talks, he brings a rare mix of academic rigor, product intuition, and operational execution.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Wisconsin-Madison
Pre-University Higher Secondary Education Biology, Pre-University Higher Secondary Education Biology at Don Bosco Matric Hr Sec School
B.Tech Information Technology, B.Tech Information Technology at PSG College of Technology
Coursera-Pattern Discovery in Data Mining
Master's degree Computer Science, Master's degree Computer Science at Columbia University
English, Tamil