Senior AI Engineer and Solution Architect with 15+ years of software engineering experience and 5+ years building enterprise AI solutions.
Specialized in Generative AI, LLMOps, Agentic AI, Retrieval-Augmented Generation (RAG), AI Assistants, and scalable AI backend architectures.
Built production-grade AI platforms for healthcare, fintech, and SaaS organizations using Python, FastAPI, OpenAI GPT/ChatGPT, Claude, Gemini, LangChain, LangGraph, vector databases, and cloud-native technologies.
Experienced in architecting secure AI applications that protect sensitive information through authentication, authorization, encryption, audit logging, role-based access control, and privacy-by-design principles. Familiar with developing software for healthcare environments and implementing engineering practices aligned with HIPAA requirements for handling protected health information (PHI).
Core Expertise
• OpenAI GPT/ChatGPT, Claude, Gemini
• Generative AI & LLMOps
• AI Agents & Agentic AI
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering & Function Calling
• LangChain, LangGraph & Spring AI
• FastAPI & Python
• Vector Databases (Pinecone, pgvector, FAISS)
• AI Guardrails & Conversational Memory
• Secure API Design & OAuth2/JWT
• Privacy-by-Design & Healthcare AI
• AWS, Kubernetes & CI/CD
Available for remote full-time and consulting opportunities across EST, PST, CET, and IST time zones.




• Designed and implemented enterprise AI assistants using OpenAI GPT/ChatGPT, LangChain, LangGraph, and Retrieval-Augmented Generation...
• Designed and implemented enterprise AI assistants using OpenAI GPT/ChatGPT, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
• Built secure AI services handling sensitive business information using authentication, authorization, encryption, audit logging, and role-based access control.
• Developed AI backend services for healthcare, fintech, and enterprise applications with privacy-first architecture and secure API design aligned with HIPAA software development best practices.
• Integrated OpenAI, Claude, Gemini, and Hugging Face models into production applications using FastAPI and scalable cloud-native architectures.
• Implemented function calling, conversational memory, AI guardrails, semantic search, and vector databases for reliable enterprise AI solutions.
• Optimized AI inference performance and backend scalability while maintaining security, observability, and compliance requirements.
Designed an AI-powered Healthcare Wellness Assistant using OpenAI GPT and Retrieval-Augmented Generation (RAG) to provide evidence-based wellness information. Implemented secure authentication, role-based access control, audit logging, encrypted communication, prompt guardrails, and privacy-first architecture aligned with HIPAA software development practices. Integrated FastAPI, LangChain, vector databases, and conversational AI to deliver secure and scalable healthcare assistance.