---
title: "Snaha M - Software Engineer in Chennai | Tal"
description: "Meet Snaha M, Senior Analyst @Natwest Group || Gen AI developer|| AI-ML Enthusiast based in Chennai. AI stack includes hugging face, langchain, and langgraph."
image: "https://tal.club/meet/snaha-m/share-image"
---

# Snaha M on Tal

## 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

[View the original profile](https://tal.club/meet/snaha-m)

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