Mumbai, Maharashtra, India
4 years. 3 production AI systems in regulated financial environments. 0 audit findings. I'm a Senior AI Engineer leading AI development at Datamatics - building agentic systems, RAG pipelines, and LLM infrastructure that enterprise clients in banking, healthcare, and international development actually depend on. 80% RFP win rate. 67% reduction in end-to-end processing time. 400 req/sec peak throughput. Tech stack: LangGraph · CrewAI · Google ADK · MCP · Azure OpenAI · AWS Bedrock · GCP Vertex AI · FastAPI
-- Leading a team of 5 AI engineers within the AI Center of Excellence, overseeing technical direction, code reviews, and end-to-end delivery. -- Delivery across Agentic AI, RAG, Text-to-SQL, and Multi-Agent Orchestration using LangGraph, CrewAI, Google ADK, AWS Bedrock, Neo4j, FAISS. -- Led client solutioning and RFP responses across BFSI, healthcare, and international development sectors
— Designed scalable AI/ML architectures integrating LLMs, vector databases and custom embedding pipelines. — Built robust data processing workflows using Kafka, HANA, Hive, Presto, and Blob Storage for high-throughput analytics. — Orchestrated AI model deployments on Kubernetes with CI/CD pipelines via Azure DevOps and GitLab. — Enabled multimodal data handling (text, speech, documents) with OCR, Azure Speech Services, and custom parsing tools. — Developed and fine-tuned traditional ML/DL models for classification, clustering, and regression tasks using TensorFlow and scikit-learn.
Engaging Students with different coding competiton Solving their Bugs,Errors