---
title: "sanjay varghese stephen - Principal Software Engineer in Bengaluru | Tal"
description: "Meet sanjay varghese stephen, Principal Engineer | Enterprise AI & Distributed Systems Architect | GenAI | RAG | LLMs | Cloud-Native Platforms | AWS | AI Agents | MS Applied Artificial Intelligence @ University of San Diego based in Bengaluru. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/sanjay-varghese-stephen/share-image"
---

# sanjay varghese stephen on Tal

## Headline

Principal Engineer \| Enterprise AI & Distributed Systems Architect \| GenAI \| RAG \| LLMs \| Cloud\-Native Platforms \| AWS \| AI Agents \| MS Applied Artificial Intelligence @ University of San Diego

## About

Principal Engineer and Enterprise AI Architect with 18\+ years of experience building high\-scale distributed systems, AI\-powered platforms, and cloud\-native enterprise solutions across consulting, cybersecurity, fintech, retail, telecom, and supply chain domains\. Specialized in architecting enterprise\-grade Generative AI platforms leveraging Large Language Models \(LLMs\), Retrieval\-Augmented Generation \(RAG\), AI agents, LangChain, LangGraph, vector databases, and scalable orchestration frameworks\. Proven track record delivering: AI\-powered automation platforms reducing complex document analysis timelines from weeks to under 5 minutes Distributed financial systems processing 25,000\+ transactions per second AI forecasting platforms processing 200,000\+ historical records per second Experienced in leading global engineering teams, driving modernization initiatives, architecting scalable cloud\-native systems, and partnering with business stakeholders to deliver enterprise\-scale AI transformation\. Core expertise includes: Generative AI \| LLMs \| RAG \| LangChain \| LangGraph \| Distributed Systems \| AWS \| Kubernetes \| Microservices \| Cloud Architecture \| AI Agents \| Platform Engineering \| Scalable Systems

## Location

Bengaluru

## AI stack

claude code

claude

cursor

gemini

langgraph

lovable

## Work experience

Principal Software Engineer at McKinsey & Company, May 2025 \- Present · 1 yr 7 mos, Bengaluru, · Architected and delivered enterprise\-grade AI solutions for automated analysis of Media Service Agreements \(MSA\) and Statements of Work \(SOW\), enabling compliance validation against standard contracting practices and generating detailed spend intelligence reports\. · Reduced contract teardown and spend analysis turnaround time from multiple weeks to under 5 minutes through intelligent document processing, AI\-driven workflow automation, and scalable cloud\-native architectures\. · Designed and implemented Retrieval\-Augmented Generation \(RAG\)\-based workflows leveraging Large Language Models \(LLMs\) for contextual document understanding, compliance analysis, semantic reasoning, and financial insight generation\. · Architected an AI\-powered conversational intelligence platform capable of dynamically orchestrating domain\-specific APIs to deliver marketing analytics, campaign performance insights, benchmark analysis, and spend optimization recommendations based on enterprise client data\. · Designed multi\-agent orchestration frameworks using LangGraph and LangChain to enable scalable reasoning workflows, API execution, structured report generation, and enterprise AI automation\. · Implemented vector database architectures for semantic search, contextual retrieval, and high\-accuracy AI response generation across large\-scale enterprise document repositories\. · Partnered with global consultants, architects, and business stakeholders to define AI strategy, accelerate operational efficiency, and improve data\-driven decision\-making for enterprise clients\. · Built and mentored high\-performing engineering teams focused on scalable AI platform development, cloud\-native modernization, and enterprise AI adoption initiatives\. Tech Stack : Python, LLMs, RAG, LangChain, LangGraph, AI Agents, Vector Databases, AWS, Microservices, Semantic Search

Staff Software Engineer at Trellix, Feb 2024 \- May 2025 · 1 yr 4 mos, Bengaluru, · Architected cloud\-native database activity monitoring solutions for enterprise\-scale cybersecurity platforms supporting secure monitoring across cloud\-hosted database environments\. · Designed and implemented high\-performance multithreaded processing frameworks that improved database sensor efficiency by over 10x, significantly enhancing scalability and threat detection performance\. · Led modernization initiatives for Java\-based monitoring and vulnerability reporting platforms, driving improvements in platform maintainability, performance, and operational reliability\. · Provided technical leadership to cross\-functional engineering teams of 18\+ engineers delivering enterprise\-grade database security and threat monitoring solutions\. · Drove engineering best practices, architecture governance, and scalable system design initiatives across distributed cybersecurity platforms\. · Built and scaled engineering teams with diverse technical backgrounds while mentoring engineers in solution design, feature delivery, and customer issue resolution\. · Collaborated with global architects and senior leadership teams to define platform delivery strategy, modernization roadmaps, and long\-term security architecture initiatives\.

Senior Algorithm Developer at Kinaxis, May 2022 \- Feb 2024 · 1 yr 10 mos, Bengaluru, · Architected and implemented high\-performance forecasting algorithms for Demand AI platforms processing over 200,000 historical sales records per second across enterprise supply chain environments\. · Designed scalable shipment forecast disaggregation and spreading algorithms to improve forecasting accuracy and supply chain planning efficiency\. · Optimized large\-scale algorithmic processing pipelines to support enterprise demand planning and predictive analytics initiatives\. · Collaborated with global architects, product teams, and senior leadership to define roadmap strategies for AI\-driven supply chain forecasting solutions\. · Partnered with enterprise customers to resolve complex forecasting and algorithmic challenges across large\-scale production environments\. Tech Stack: C\+\+, Windows, Microservices, XML

Lead engineer at Nasdaq, Feb 2018 \- Jul 2022 · 4 yrs 6 mos, Bengaluru, Karnataka, India, · Architected and delivered high\-performance SaaS\-based matching solutions for secondary financial markets capable of processing 25,000\+ order transactions per second\. · Designed and implemented low\-latency gateway integrations including FIX, OUCH, and HURL protocols for seamless connectivity with universal matching engines\. · Collaborated with global architecture teams to define scalable data models, distributed system designs, and platform integration strategies for financial trading systems\. · Drove technology modernization initiatives through adoption of Agile engineering practices, scalable microservices architectures, and cloud\-native deployment models\. · Mentored and coached engineering teams in Bangalore while promoting engineering excellence, scalable architecture principles, and high\-performance system design\. Tech Stack: C\+\+, Python, Distributed Systems, Microservices, PostgreSQL, AWS, Kubernetes, Docker

Senior Engineer at DELLEMC, Jan 2016 \- Feb 2018 · 2 yrs 2 mos, Bangalore, · Architected and developed scalable REST API frameworks enabling enterprise storage migration from EqualLogic to next\-generation Cyclone storage arrays\. · Enhanced Linux Host Integration Toolkit compatibility across newer Linux platform releases, improving enterprise deployment stability and customer adoption\. · Contributed to distributed systems modernization initiatives and promoted Agile engineering methodologies across cross\-functional development teams\. · Mentored early\-career engineers and supported technical onboarding initiatives focused on scalable systems engineering and enterprise storage platforms\. Tech Stack: C\+\+, Python, Distributed Systems

## Education

Bachelor's Degree, Computer Science, Anna University Chennai

Master's Degree, Applied Artificial Intelligence, University of San Diego

[View the original profile](https://tal.club/meet/sanjay-varghese-stephen)

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