---
title: "Ayush Nigam - Software Engineer II in Bengaluru | Tal"
description: "Meet Ayush Nigam, Building High-Impact Systems: Enterprise SaaS, Production AI, Measurable Results | SWE2 @ Microsoft based in Bengaluru. AI stack includes claude code, github copilot, and langchain."
image: "https://tal.club/meet/ayush-nigam-3/share-image"
---

# Ayush Nigam on Tal

## Headline

Building High\-Impact Systems: Enterprise SaaS, Production AI, Measurable Results \| SWE2 @ Microsoft

## About

With over 7 years of experience in software development, I focus on creating scalable and high\-performance backend systems\. At Microsoft, I contribute to building a multi\-tenant serverless backend platform on Azure, supporting over 350 enterprise tenants and 20,000 daily users\. My work includes architecting distributed systems, integrating enterprise workflows with Microsoft Teams, and deploying AI\-driven solutions for autonomous incident triage in Dynamics 365 Finance & Operations\. My expertise lies in agentic AI development, software systems engineering, and cloud architecture\. I am passionate about leveraging innovative technologies, including Microsoft Azure, to optimize system performance and enable seamless enterprise operations\. Collaborating with my team, I aim to enhance digital transformation initiatives while ensuring reliability and scalability in software solutions\.

## Location

Bengaluru

## AI stack

claude code

github copilot

langchain

## Work experience

Software Engineer II at Microsoft, Dec 2022 \- Present · 3 yrs 10 mos, Bengaluru, Karnataka, India, • Supported 350\+ enterprise tenants and 20K daily users by architecting a multi\-tenant serverless backend platform on Azure, integrating enterprise workflows with Microsoft Teams\. • Shipped a closed\-loop, six\-agent AI system that ran unattended and produced \~150 confidence\-ranked investigation reports for autonomous incident triage on Dynamics 365 Finance & Operations — orchestrating specialist sub\-agents \(GitHub Copilot\) over Playwright MCP for browser automation and a custom code\-grounding MCP to ground RCAs in the real product source\. • Improved triage accuracy over time with an adversarial verification and feedback loop — one agent deletes unsupported claims before posting, while a Feedback Agent grades each triage against the real resolution and feeds confirmed root causes back into a sanitized knowledge base\. • Achieved 98% automated matching accuracy in a remittance matching and payment reconciliation service — combining fuzzy search with AI\-based reasoning to resolve ambiguous matches, and an MCP tool to trigger downstream payment creation — eliminating manual financial operations\. • Improved transaction throughput by 30% by identifying and resolving performance bottlenecks in high\-volume financial workflows — reducing database chattiness and optimizing service calls\. • Enabled scalable, fault\-tolerant enterprise integrations by engineering a multi\-tenant SaaS architecture on OData\-based microservices\. • Cut onboarding latency by 50% and saved weeks of manual effort by streamlining tenant and employee onboarding end\-to\-end — integrating HR systems with Active Directory for identity provisioning, and building an automated workflow with Copilot Studio and C\# backend services\. • Accelerated ramp\-up for a new engineering team of 12 by onboarding and mentoring them through structured training sessions\.

Software Engineer at Microsoft, May 2022 \- Dec 2022 · 8 mos, Bengaluru, Karnataka, India

Technical Consultant at Microsoft, Jul 2019 \- May 2022 · 2 yrs 11 mos, Hyderabad Area, India, • Modernized legacy systems into scalable cloud\-native architecture for a logistics enterprise with 100,000\+ employees across Asia\-Pacific — recognized with Best Project \(Nov 2020\) and Best Tech Lead \(Oct 2021\)\. • Reduced vendor selection cycle time by 95% by designing and launching an internal vendor portfolio management platform with real\-time multi\-database integration — recognized with Best Consultant\.

Full Stack Development Intern at Conduent, May 2018 \- Jul 2018 · 3 mos, Noida, Uttar Pradesh, India

Database Management Intern at airtel, Jun 2016 \- Jul 2016 · 2 mos, Gurugram, Haryana, India

## Education

Bachelor of Technology \(BTech\), Computer Science, Vellore Institute of Technology

[View the original profile](https://tal.club/meet/ayush-nigam-3)

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