Nov 2018 – Sep 2025 · 6 yrs 10 mos · Redmond, Washington, United States

• Open Source Leadership:
• Maintain and shape the azure-sdk-for-js monorepo; set JS/TS SDK direction, manage release pipelines, build isomorphic SDKs for Azure services, and mentor contributors.
• SDK Platform Architecture:
• Architected and evolved core infrastructure such as @azure-tools/test-recorder and @azure/dev-tool, pioneering modular, plugin-based architectures for extensibility and reliability. Reduced test flakiness and HTTP traffic by up to 100x, directly accelerating partner product velocity and reducing costs.
• AI Tooling:
• Led AI-powered test generation using GPT-4.5 and Azure OpenAI taking code coverage to 100% in most cases, advanced Gen-AI sample generation workflows, and built AI assisted log analysis prototypes for stress tests. Integrated LLM-driven workflows into the engineering lifecycle.
• Performance Engineering:
• Built performance frameworks (Geneva dashboards, flamegraphs) for early regression detection in mission-critical cloud services; established standardized telemetry for proactive monitoring.
• Developer Tooling & Automation:
• Modernized build/test pipelines (Vitest, Playwright), led ESM migration for 300+ SDKs, reduced CI times by 5–6x with Rush-based dependency scoping, and architected API View for Rust SDKs. Automated CI/CD adoption across distributed teams.
• Cloud Native Testing:
• Developed scalable performance and stress testing for cloud SDKs on AKS, with Azure Monitor for observability and efficient global testing.
• Cross-Language Systems:
• Standardized test infra and protocols across 8+ Azure SDK languages for consistency and reliability.
• Reliability & Incident Response:
• Resolved critical memory leaks in AMQP-based systems using heap snapshots, automated binary search, and Kubernetes-based stress tests, boosting workload stability.
• Product Delivery:
• Shipped preview/GA SDKs for Storage Blob, Service Bus, Event Hubs, Document Intelligence, and others across 400+ Azure services, supporting both enterprise customers and internal partners.

May 2017 – Jul 2017 · 2 mos · Hyderabad Area, India

• Developed a Machine Learning model for predicting match significance to re-rank the query results of Jarvis Search.
• Studied Jarvis Search functionalities, ideas involved in Azure Search & used Internal Machine Learning tool TLC.
• Worked with multiple non-linear classifiers (Fast tree, Binary Neural Network, Fast Forest) and applied techniques like PFI for feature-importance evaluation.
• Trained a parallel ensemble of Fast tree & Binary Neural Network, achieved an accuracy of 93%
• Showcased the impact of model’s prediction in re-ranking the results on the Jarvis Search Production.

Apr 2016 – Jul 2016 · 3 mos · Kanpur Area, India

• Developed client-side and admin-side applications using AngularJs and FireBase.
• Used IonicFrameWork and Material Design for building the Android and IOS Applications
• Implemented Adler32, Twilio API for OTP generation and used LocalStorage(AngularJS) for offline functionalities.

Dec 2015 – Jan 2016 · 1 mo · Kanpur Area, India

• – Worked with AngularJs, FireBase and PhoneGap technologies and built the Android, IOS Apps for teachers and students in TAI Schools.

Jan 2015 – Jan 2015 · 0 mo

• - Worked in the team to develop and maintain the Antaragni's website (Annual Cultural Fest at Indian Institute of Technology, Kanpur).