AI/ML Engineer with 12+ years of experience building scalable data platforms, machine learning systems, Generative AI applications, and enterprise-grade intelligent products across fintech, healthcare, enterprise automation, and customer intelligence domains. Specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, autonomous workflows, and production-scale AI infrastructure.Experienced in designing and deploying cloud-native AI ecosystems integrating structured and unstructured data pipelines, vector databases, real-time inference systems, semantic retrieval architectures, enterprise copilots, and intelligent automation platforms. Hands-on expertise with modern AI technologies including GPT-4/4o/5, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, Kubernetes, PyTorch, and distributed MLOps platforms.Strong background in building scalable AI solutions supporting millions of inference requests, GPU-accelerated workloads, low-latency LLM deployments, and enterprise-grade AI governance. Proven ability to bridge software engineering, data engineering, machine learning, and Generative AI into unified production ecosystems delivering measurable business impact, operational scalability, and intelligent automation.Passionate about building next-generation AI systems leveraging multi-agent orchestration, semantic search, AI observability, prompt optimization, and autonomous decision-making frameworks to solve complex real-world business challenges.
