Rajkiran Veldur

I am an AI/ML Solutions Architect and GenAI engineer with 13+ years designing and deploying production-grade intelligent systems across healthcare, banking automation, and enterprise cloud platforms. I specialize in generative AI, RAG system design, transformer-based models, and cloud-native MLOps on AWS and Azure.

At Tata Consultancy Services I architected a $225M ML platform migration to AWS, deploying MLflow, FastAPI, Docker, Kubernetes and ArgoCD to create a scalable MLOps pipeline, and I built Go-based data pipelines to remove Python GC bottlenecks. I was selected as a TATA Group AI Innovation Top-Seed finalist for three ideas spanning LangGraph-orchestrated MLflow pipelines, CO2e-aware inference services, and a vision-based safety system.

Previously I led AI platform delivery at HCLTech and Virtusa, eliminating a $450K QA dependency through automation-driven architecture, and designing a banking-grade document intelligence platform that raised accuracy from 78% to 94% across 250K+ monthly documents while reducing costs and improving throughput. I delivered repeatable containerised ML pipelines, embedding-based retrieval, and production monitoring practices.

I continuously upskill in LlamaIndex, MCP, and GoLang to build next-generation agentic AI platforms and high-performance microservices. I bring a pragmatic, security-by-design approach to solution architecture, strong cross-functional leadership, and a track record of measurable business impact.