Jun 2022 – Jan 2026 · 3 yrs 7 mos · Bengaluru, Karnataka, India · On-site

• Developed a new Azure Commerce Transition system leveraging event-driven architecture with Near Real-Time (NRT) event processing and C#/.NET microservices, powering 3% of Microsoft’s enterprise revenue by enabling faster, reliable, and traceable account transitions.
• Led end-to-end development of high-impact backend systems for a global account management
• platform, including data ingestion from enterprise data lakes, transformation logic, and scalable API
• architecture. Implemented robust role-based security to ensure compliance and transparency across
• 72,000+ accounts (~$4 billion revenue), with a supporting React-based UI for user interaction.
• Automated drafting and tracking of outreach emails by using an Azure Function App as a scalable,
• stateless API to consume pre-processed data, invoke OpenAI LLMs, and return personalized drafts to a React UI via Power Automate. This AI-driven flow streamlined seller outreach, improved productivity, and is projected to influence $80M in FY26.
• Enhanced service reliability and scalability by restructuring Azure Synapse pipelines—eliminating
• redundant code, optimizing compute clusters, and adding detailed logging and monitoring. Refactored backend services and implemented Azure Front Door for load balancing, reducing live-site incidents by 40% and improving global response times.
• Built the PMX Insights dashboard using optimised SQL queries, delivering real-time seller engagement and system performance metrics to leadership and product teams for faster, data-driven decisions.
• Raised engineering and delivery standards by driving CI/CD adoption, integrating Playwright for UI
• automation, leading design discussions, applying Agile Methodologies as Scrum Master, and mentoring peers through code reviews, resulting in faster releases and improved code quality.

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

• Developed a real-time backend pipeline with Flask + Kafka + Redis to ingest and process high-volume
• data streams, enabling millisecond-latency delivery for infrastructure monitoring.
• Built interactive UIs in React and Cytoscape.js on top of WebSocket integrations, providing engineers
• with intuitive visualization tools for large-scale service interactions.
• Collaborated with infra engineers and data scientists to design experiments and deliver actionable
• insights from live system data, improving operational visibility across LinkedIn’s platform.

Oct 2019 – Mar 2020 · 5 mos

Jul 2018 – Aug 2019 · 1 yr 1 mo