

I specialize in Generative AI, having architected and delivered enterprise-grade solutions using GPT-4, GPT-3.5, BERT, and LLaMA for NLP, contextual content generation, and intelligent automation. My expertise includes building agentic AI workflows with Lang Chain and LangGraph, optimizing LLM pipelines with vector databases, and applying Retrieval-Augmented Generation (RAG) with safety guardrails to ensure compliance and accuracy. A flagship achievement is the design and implementation of a Generative AI-based Intelligent Document Processing (IDP) system for E-KYC, which automated extraction, validation, and cross-verification of customer data from documents such as passports and utility bills, significantly reducing manual effort and improving compliance accuracy. Certified in AWS AI Practitioner, Java 808, and Azure Az-900/Az-204, and currently managing a team of 10+ engineers, I combine strategic leadership with deep technical expertise. This blend positions me as a forward-thinking architect who bridges enterprise engineering with cutting-edge Generative AI technologies, delivering scalable, compliant, and future-ready solutions.
· Established Operations framework, systems, and processes in the Implementation Division & Project Management Office (PMO) for project life cycle management, program, and portfolio management.
· Ensured timely delivery and quality all compliant with the client’s’ quality processes.
· Wrote clear quality code for software and applications and perform test reviews.
Languages & Frameworks: Python, FAST API, Java, Spring boot, REST API, Microservice, Kafka
Emerging Technologies: Gen AI, RAG, LLM Integration, Lang Chain, AI Chatbot, AI API Integration, Gemini, GitHub copilot,Open AI
Web Technologies: HTML5, CSS3, JavaScript, jQuery, REST APIs
IDE: Eclipse, SQL Developer, IntelliJ, VSCode
Databases: MySQL, PostgreSQL, Oracle
DevOps & Deployment: AWS, Azure, Git, GitLab, Bitbucket, Docker, Nginx, CI/CD
Version Control: Git, Bitbucket