Dec 2022 – Jan 2025 · 2 yrs 1 mo

• Led the development of reliable pricing responses in the Amazon App using Rufus, a generative AI shopping assistant. Designed and implemented changes across backend services in collaboration with engineering teams across various geographical locations.
• Led the development of back-end for the voice search experience in the Amazon App. Led engineering efforts while partnering with product, design, science, and business intelligence teams. Designed, developed, and supported real-time speech recognition services from scratch, capable of handling hundreds of requests per second.
• Proposed metrics to measure user-perceived latency for voice search and built instrumentation to monitor latency in real-time. Implemented optimizations that resulted in a 65% reduction in user-perceived latency.
• Architected and developed multiple Alexa experiences within the Amazon App across backend and frontend (Android, iOS, React Native) stacks. Led the end-to-end implementation of Alexa-powered navigation, delivering a scalable solution for hundreds of thousands of shopping categories in collaboration with cross-functional engineering teams.
• Led the development and maintenance of Alexa Auto Mode in the Amazon Android App, enhancing hands-free shopping functionality. Refactored and improved the core Android SDK, installed on over 150 million devices, resolving critical performance, thread management, synchronization, and latency issues.

Aug 2019 – Dec 2022 · 3 yrs 4 mos

Oct 2018 – Aug 2019 · 10 mos · London, United Kingdom

• Developed the "Book with Skyscanner" native checkout for iOS and Android. Led the technical design of the backend integration for flight bookings, including insurance options, using Python, Node.js, and Java.

Dec 2015 – Jun 2018 · 2 yrs 6 mos · Gurgaon, India

• Developed a highly scalable and resilient real-time messaging service in Elixir, handling hundreds of thousands of connections in distributed environments. Replaced the existing third-party service, saving the company approximately $200k per month in costs.
• Developed the bulk export feature that allows customers to export their data as CSV files, efficiently handling millions of records per export. Ensured fast, scalable processing while keeping the database load under control, preventing any impact on live reads or traffic.
• Contributed to the development of the metrics and insights feature, enabling customers to monitor and analyze their business metrics effectively.
• Developed the push notification system for mobile (Android, iOS) and browsers using the Web Push protocol, successfully sending over 2 million notifications per day.
• Enhanced search functionality by optimizing Elasticsearch, improving its ability to efficiently handle hundreds of gigabytes of searchable data.

Feb 2015 – Dec 2015 · 10 mos · Gurgaon, India

• Led the infrastructure team responsible for deploying, monitoring, and configuring the entire SOA-based cloud environment.
• Core contributor to rewriting the Java monolith into an SOA-based system using Python, aimed at reducing development times, resolving performance issues, and improving scalability.
• Primary contributor to Vyked, an open-source micro-service framework written from scratch in Python, which powers the entire service-based architecture at 1mg.

Jun 2013 – Feb 2015 · 1 yr 8 mos · Gurgaon, India

• Contributed to the Flock Android team, a messaging application designed for teams and small businesses. Worked on building new features and refactoring the backend infrastructure.
• Worked on the Android team for Poof and Talk.to. Poof was a private chat application where I was responsible for developing the messaging backend. In Talk.to, a multi-device communication app, I built and shipped features such as audio and GIF sharing, client-side integration for analytics events, and made performance improvements.

Apr 2011 – Oct 2011 · 6 mos

• Stochastic modelling for wind generated ambient ocean noise.

Apr 2009 – May 2013 · 4 yrs 1 mo