May 2025 – Mar 2026 · 10 mos · Bengaluru, Karnataka, India

• Contributed to the core recommendation infrastructure powering personalized experiences across Flipkart, focusing on building scalable, resilient systems that serve millions of users. Played a key role in enhancing system reliability and observability through robust metrics, logging, alerting, and auto-scaling strategies. Collaborated closely with product and data teams to translate complex recommendation use-cases into high-impact, production-grade solutions.
• My key contributions were:
• Designed and implemented an end-to-end integration testing framework for the Ranking of Listing Service, enabling validation across multiple upstream and downstream dependencies, significantly improving release confidence and reducing production issues.
• Led the “Speed Track” initiative, focused on prioritizing listings with faster delivery promises to improve user experience:
• (i) Enhanced service architecture to accurately compute and surface delivery SLAs across homepage and product page recommendation widgets, integrating multiple dependent systems.
• (ii) Redesigned the ranking pipeline to incorporate delivery SLA as a core feature in the prediction model, influencing listing prioritization.
• (iii) Drove measurable business impact by improving overall click-through rate (CTR) by 13%, directly contributing to higher user engagement and conversion.

Jun 2021 – May 2025 · 3 yrs 11 mos

• Worked across the Special Clouds and Azure Compute teams, designing and developing solutions for large-scale, cloud-native systems with a strong focus on deployment automation, infrastructure reliability, and service health monitoring. My work primarily spans sovereign cloud platforms, high availability services, and compliance-enforced environments.
• My key contributions include
• Built the Parameterizer API using C# and Azure SDKs to enable configuration management and zero-touch deployments across sovereign cloud regions.
• Enhanced the EV2 Compiler Codegen pipeline to support extensible resource templates using .NET, improving deployment orchestration across teams.
• Developed a troubleshooting framework using Azure Functions, Application Insights, and diagnostic logging to empower support teams with better visibility into system behavior.
• Created a dependency health monitoring system for microservices using Azure Monitor, RESTful health probes, and region-aware fallback logic.
• Led observability improvements by integrating telemetry pipelines, building Grafana dashboards, and implementing alerting for service-critical workflows.
• Designed and enforced compliance automation pipelines using Azure Policy, Resource Graph, and PowerShell to ensure configuration security across environments.
• Migrated a legacy data orchestration workflow to Azure Data Factory, ensuring high availability and support for air-gapped and sovereign cloud deployment scenarios.

Jan 2021 – Jun 2021 · 5 mos

• Worked as a Software Engineer Intern with the MARS (Map and Reduce on Substrate) team. I worked primarily on finding the pain points of the OCEs (On-Call Engineers) and developed a solution to reduce the time taken to summarize the On-Call data significantly.

May 2020 – Jul 2020 · 2 mos

• Worked as a Software Engineer Intern with the Substrate Intelligence team, and added certain features to the platform used for extracting data from the largest data repository in the world.