---
title: "Suman Nath - Staff Software Engineer in Bengaluru | Tal"
description: "Meet Suman Nath, Staff AI/ML Engineer · RAG Pipelines · Agentic AI · LLM · Vector Databases · MCP | Building Production AI @ Intuit | Ex-Visa · Ex-TCS | AI Educator based in Bengaluru. AI stack includes anthropic apis, claude code, and cursor. Explore public work links including github."
image: "https://tal.club/meet/suman-nath/share-image"
---

# Suman Nath on Tal

## Headline

Staff AI/ML Engineer · RAG Pipelines · Agentic AI · LLM · Vector Databases · MCP \| Building Production AI @ Intuit \| Ex\-Visa · Ex\-TCS \| AI Educator

## About

Get in touch with me: https://topmate\.io/sumannath/ I've spent 14 years making complex systems reliable\. The last 3, I've been doing that for AI\. That's a harder problem than most people admit\. Building a RAG pipeline that demos well takes a weekend\. Building one that handles 10,000 concurrent tenants, respects data boundaries, invalidates stale knowledge automatically, and explains its own failures in real\-time — that takes a fundamentally different approach\. That's what I work on\. \-\-\- At Intuit, I architect agentic AI solutions that bridge the gap between generative AI's promise and production\-grade reliability\. My work spans three areas: → AI Trust & Evaluation: Defining rigorous evaluation frameworks and real\-time observability strategies so AI responses are accurate, safe, and auditable — not just impressive in a demo\. → Agentic Systems: Designing multi\-agent architectures using MCP \(Model Context Protocol\) that connect AI reasoning to live enterprise data — Splunk, ServiceNow, Confluence — with the reliability you'd expect from any mission\-critical system\. → Knowledge Engineering at Scale: Architecting high\-throughput document ingestion pipelines using context\-aware chunking, hybrid vector \+ graph retrieval \(Milvus \+ Neo4j\), and chunk\-level cache invalidation for precise, secure knowledge utilisation\. \-\-\- Before Intuit, at Visa, I built RAG pipelines for financial workflows, developed an MCP\-based triage agent connecting to internal systems in real time, and led distributed systems architecture across high\-volume payment platforms\. And before Visa, 10\+ years at TCS gave me something no architecture diagram teaches: how to lead teams of 50\+ across India and the Netherlands, stay calm when a production system goes down at 2am, and make technology actually serve the business\. \-\-\- Outside work, I love teaching AI/ML engineering and system design, helping mid\-to\-senior engineers break into top\-tier AI roles\. I also write about applied AI, RAG systems, and the real cost of building reliable intelligent systems at nathlabs\.com\. \-\-\- If you're building production AI systems, evaluating RAG architectures, or want to talk about what "trustworthy AI" actually means in practice — I'm always happy to connect\. 📍 Bengaluru \| Open to Staff / Principal AI Engineering roles where the hard problem is making AI reliable, not just impressive\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

cursor

gemini

github copilot

hugging face

## Work experience

Staff Software Engineer at Intuit, Feb 2026 \- Present · 8 mos, Bengaluru, Karnataka, India, Architecting trustworthy agentic AI systems that close the gap between generative AI's promise and what production actually demands\. → AI Trust & Evaluation: Designed rigorous evaluation frameworks and real\-time observability pipelines to measure agentic response accuracy, safety, and reliability at scale — replacing manual spot\-checks with automated, metric\-driven validation\. → Automated Prompt Optimisation: Leveraged GEPA \(Genetic\-Pareto prompt evolution\) to automatically optimise prompts against ground truth datasets of 400\+ entries across 4–5 evaluation metrics — reducing prompt iteration cycles from days to hours \(\~70% time saving\) when datasets are updated, replacing manual trial\-and\-error with LLM\-driven reflective evolution\. → Agentic Architecture: Built multi\-agent systems using Model Context Protocol \(MCP\) that connect AI reasoning to live enterprise data sources — enabling autonomous triage, root\-cause analysis, and resolution recommendations across complex user issue workflows\. → Knowledge Engineering: Architecting high\-throughput document ingestion pipelines with context\-aware chunking and hybrid retrieval \(vector \+ graph\) to ensure proprietary knowledge is accurately and securely surfaced for high\-precision queries\. → Production Reliability: Defined AI success metrics and feedback loops that validate model behaviour against real\-world outcomes — ensuring agentic responses remain accurate and auditable as systems evolve\.

Staff Software Engineer at Visa, Aug 2022 \- Feb 2026 · 3 yrs 7 mos, Bengaluru, Karnataka, India, Led AI/ML engineering and distributed systems architecture across Visa's high\-volume financial platforms, with a focus on intelligent automation and production\-grade reliability\. RAG & Agentic AI: → Developed RAG pipelines integrating LLMs with internal knowledge bases using LangChain — enabling intelligent document summarisation and automated support workflows\. → Built an MCP\-based triage agent connecting to Splunk, Clickhouse, ServiceNow, and Confluence in real time — providing autonomous root\-cause analysis and historical insights across live production incidents\. Distributed Systems & Platform: → Architected Python\-based microservices for critical financial transaction processing, improving scalability and resilience across high\-volume payment platforms\. → Led architecture reviews providing guidance on scalability patterns, fault tolerance, and distributed system design for backend platforms\. → Deployed containerised applications using Kubernetes, Jenkins, GitHub Actions, and Helm charts for consistent, reliable production deployments\. Automation & Data: → Automated complex batch workflows using Python, Control\-M, and Bash — achieving an 80% reduction in manual effort and significantly improving data consistency\. → Optimised database performance across MySQL, DB2, and Cassandra through query refactoring and schema optimisation — resulting in a 40% improvement in data access times\. → Built scalable data processing pipelines with Pandas and Apache Spark for log ingestion, dataset enrichment, and analytical reporting across distributed systems\.

Staff Engineer / Technical Lead at Tata Consultancy Services, Jan 2012 \- Aug 2022 · 10 yrs 8 mos, Kolkata, West Bengal, India, Over a decade at TCS, I grew from individual contributor to Technical Lead — managing 50\+ engineers across India and the Netherlands, delivering enterprise solutions for global clients across steel, manufacturing, and financial services domains\. Technical Leadership: → Led Application Maintenance and Support \(AMS\) for 3\+ years as primary escalation point for production outages, conflict resolution, and SLA management across mission\-critical client systems\. → Directed a diverse team of 50\+ associates across Netherlands and India, ensuring seamless service delivery, client satisfaction, and continuous process improvement\. → Served as LnD SPOC \(Learning & Development Single Point of Contact\) — mentoring engineers, driving upskilling initiatives, and maintaining team motivation through sustained delivery pressure\. Engineering & Delivery: → Delivered multiple functional designs for legacy\-to\-cloud migration projects, contributing to successful client proposals and solution architecture across global accounts\. → Developed software using MySQL, DB2, Python automations, and Java across object\-oriented enterprise systems\. → Integrated AWS services \(EC2, RDS, S3\) to implement cloud requirements for client workloads, supporting the transition from on\-premise to cloud\-native infrastructure\. → Designed RESTful APIs for authentication, authorisation, and service orchestration supporting mission\-critical operations\. Client Delivery \(UK & Netherlands\): → Served as primary technical liaison for client\-facing delivery across European engagements — managing requirements, stakeholder communication, and delivery timelines across time zones\.

## Education

Bachelor’s Degree, Computer Science, West Bengal University of Technology, Kolkata

High School, All Subjects, Don Bosco School

## Public links

- github: https://github\.com/sumannath

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

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