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