I build production-grade GenAI and NLP systems — from LLM-powered conversational agents to RAG pipelines that actually hold up under real usage. As a Senior Software Engineer at HCL Technologies, I've spent 2+ years designing Dialogflow CX chatbots, retrieval-augmented generation systems, and FastAPI backends that serve real enterprise traffic.
Some of what I bring to the table:

LLM & RAG systems: End-to-end retrieval-augmented generation pipelines, prompt engineering, and LLM integration into production workflows
Conversational AI: Dialogflow CX chatbot design and deployment
Applied ML research: Published a peer-reviewed paper on CNN-based multiclass plant disease classification, achieving 92% accuracy on a 50,000+ image dataset
Certified: IBM certifications in Generative AI and Large Language Models
Full-stack comfort: Python, Transformers, FastAPI — I can take a project from model/pipeline design through to a shippable API

I care about systems that work in production, not just in a notebook. If you need someone who can scope an AI feature, build it, and explain the tradeoffs in plain language — let's talk.