I’m a Senior AI and Machine Learning Engineer with over 13 years of experience designing and delivering AI solutions across financial services, industrial safety, and enterprise analytics. Over the last few years, my primary focus has been on Generative AI, agentic systems, MLOps, and large scale machine learning platforms. Currently at Infosys, I’m working on multi agent AI systems and GenAI solutions. One of the key projects I’ve led is a Credit Decision Agent, where I built an agentic RAG architecture using Claude, MCP, LangGraph, and Pinecone. The system uses router and specialist agents to automate underwriting decisions while maintaining full auditability through citations and evidence logging. That solution improved underwriting efficiency by approximately 25%. I’ve also worked on Cisco’s AI Analytics Canvas, building MCP based tool integrations and multi agent orchestration across various business domains. Before Infosys, I worked at Blackline Safety, where I led the development of an indoor outdoor positioning platform for connected worker safety devices. The system processed millions of sensor events using AWS services such as S3, Lambda, EKS, Kafka, Redis, and SageMaker. I developed sensor fusion and time series models using GPS, accelerometer, and gyroscope data, improving location accuracy by about 25% in GPS challenged environments. From a technical standpoint, my strengths are in Python, AWS, SageMaker, Kubernetes, MLOps, time series modelling, RAG, MCP, and agent orchestration. I enjoy taking ownership of end to end AI workstreams—from understanding business problems and architecting solutions to deploying scalable systems and working directly with customers and stakeholders.…I’m a Senior AI and Machine Learning Engineer with over 13 years of experience designing and delivering AI solutions across financial services, industrial safety, and enterprise analytics. Over the last few years, my primary focus has been on Generative AI, agentic systems, MLOps, and large scale machine learning platforms. Currently at Infosys, I’m working on multi agent AI systems and GenAI solutions. One of the key projects I’ve led is a Credit Decision Agent, where I built an agentic RAG architecture using Claude, MCP, LangGraph, and Pinecone. The system uses router and specialist agents to automate underwriting decisions while maintaining full auditability through citations and evidence logging. That solution improved underwriting efficiency by approximately 25%. I’ve also worked on Cisco’s AI Analytics Canvas, building MCP based tool integrations and multi agent orchestration across various business domains. Before Infosys, I worked at Blackline Safety, where I led the development of an indoor outdoor positioning platform for connected worker safety devices. The system processed millions of sensor events using AWS services such as S3, Lambda, EKS, Kafka, Redis, and SageMaker. I developed sensor fusion and time series models using GPS, accelerometer, and gyroscope data, improving location accuracy by about 25% in GPS challenged environments. From a technical standpoint, my strengths are in Python, AWS, SageMaker, Kubernetes, MLOps, time series modelling, RAG, MCP, and agent orchestration. I enjoy taking ownership of end to end AI workstreams—from understanding business problems and architecting solutions to deploying scalable systems and working directly with customers and stakeholders.WWWW…