Headline

Senior Analyst @Natwest Group || Gen AI developer|| AI-ML Enthusiast

About

I’m an AI Engineer with a strong focus on GenAI and emerging agentic frameworks, dedicated to building intelligent systems that are practical, scalable, and forward-looking. I specialize in retrieval-augmented generation, multi-modal pipeline design, and autonomous agent experimentation, emphasizing language and vision understanding. Currently driving innovation at NatWest Group - previously shaped AI solutions at startups - I'm always exploring the edge where emerging AI meets practical impact.

Location

Chennai

AI stack

hugging face

langchain

langgraph

langsmith

mcp

Google ADK

Work experience

Software Engineer at NatWest Group, Jul 2024 - Present · 2 y 1 mo, Chennai, Tamil Nadu, India, • Led the design and deployment of a hybrid retrieval platform, achieving ~40% improvement in retrieval accuracy by implementing BM25, dense embeddings, cross-encoder reranking, and auditability-focused evaluation pipelines, resulting in faster and more reliable enterprise finance knowledge discovery. • Engineered document ingestion and embedding pipelines, including text extraction, document chunking, embedding generation, and vector indexing, enabling enterprise-scale semantic search across technical knowledge bases. • Developed AI service APIs using FastAPI to support document search, knowledge retrieval, and automated reporting; improved system performance through caching layers, optimized retrieval pipelines, and asynchronous streaming architectures. • Conducted model evaluation and optimization experiments, analyzing retrieval performance using ranking metrics and iteratively improving outputs through hyperparameter tuning and architecture enhancements. • Drove the development of self-correcting multi-agent systems using LangGraph, CrewAI, MCP, and tool-calling frameworks by implementing human-in-the-loop workflows and guardrails, reducing manual intervention across enterprise processes.

Junior Machine Learning Engineer at Xneuronz AI, Mar 2024 - Jun 2024 · 4 mos, Remote, • Developed a RAG-based conversational agent using Python, Langchain, and OpenAI GPT, enhancing customer support systems. • Utilized Dspy for prompt engineering, improving response relevance and user engagement by 35%. • Integrated vector databases such as ChromaDB and Faiss for efficient storage and retrieval of large-scale embeddings, enhancing the conversational agent's performance and scalability. • Led fine-tuning of diffusion models, resulting in a 70% improvement in conversation flow accuracy. • Collaborated cross-functionally, contributing to a 55% increase in project efficiency and ensuring timely deployment.

Education

Bachelor of Technology - BTech, Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning, SRM IST Chennai

Class 12, RMK senior secondary school