Jul 2024 – Nov 2025 · 1 yr 4 mos

• Designed and implemented a DSL-based suggestion engine, eliminating API dependencies and server load while boosting new user funnel conversion by 38% and doubling favorite activity engagement.
• Enhanced scan-to-pay architecture, reducing animation time from 1800ms to 1100ms and implementing API prefetching to eliminate loaders for 70% of users, boosting retention by 5% MoM.
• Overcame team morale challenges post-RBI restrictions by implementing consistent 1-on-1s, resulting in 100% team retention for the financial year.
• Reduced ~6 engineer-hours per sprint by partnering with AI & DevOps to implement AI-powered PR reviews in CI/CD pipelines, enabling early issue detection and improving release predictability.

Apr 2023 – Jul 2024 · 1 yr 3 mos

• Ensured UPI service continuity by expediting Paytm's TPAP system delivery in 1 month, enabling 100 million users to maintain seamless payments post RBI restrictions.
• Optimised app performance by replacing API polling with chat socket for real-time payment updates, reducing confirmation latency by ~100ms for 30% of transactions and enhancing UI experiences.
• Addressed large app size by refactoring 10k+ lines of code and 50+ assets with a builder pattern, achieving a 20MB reduction.
• Elevated code quality by resolving low test coverage through targeted module goals and standards, directing the addition of 2000 unit tests, 500 integration tests, and 100 snapshot tests, achieving 80%+ coverage.
• Mentored 8 engineers, developing 3 into senior roles and successfully managing 2 Performance Improvement Plans (PIPs) to improve team performance.
• Initiated AI-driven prototyping to address slow UI/UX concept generation, cutting turnaround time by 30% and expediting feature releases.

Aug 2022 – Jun 2024 · 1 yr 10 mos

• Addressed UI friction from multiple loaders by implementing predictive UI, ensuring 80% of users bypassed loaders and significantly reduced wait times for an instant feel.
• Resolved iOS payment flow transition latency by sequencing API calls and caching data, cutting 90th percentile delays and boosting user-centric performance.
• Addressed complexity by implementing an offline-first architecture, reducing data retrieval time from 150ms to 30ms for 95% of users.
• Mitigated runtime errors by implementing Swift strongly typed contracts, reducing missed parameters by 100% and improving compile-time error detection.
• Engineered a deterministic, local-first chat flow using IOS and Swift, eliminating chat failures blocking payments and ensuring instant UI updates via Core Data, thus preserving UX and enabling immediate payment context.
• Implemented a hybrid, on-device privacy architecture to overcome C2C chat PII restrictions, enabling secure data handling via on-device encryption and checks, preserving product functionality and seamless user privacy.

Apr 2021 – Jul 2022 · 1 yr 3 mos

Jul 2020 – Mar 2021 · 8 mos

• Contributed to Paytm Insider (now District by Zomato) iOS app; served as solo contributor for the Paytm Movies iOS module (Sep 2019 – May 2020) and led the first release of Paytm Chat.
• Implementing MVVM and offline capabilities for Paytm Chat; delivered initial release enabling contextual communication and forming the base for millions of users.
• Led feature development and app store releases for the Paytm Insider app, successfully migrating from Objective-C to Swift to enhance performance.
• Implemented initial unit test coverage and introduced TDD methodology, demonstrating best practices in code architecture and influencing team-wide adoption.

Apr 2019 – Jun 2020 · 1 yr 2 mos

Dec 2017 – Mar 2019 · 1 yr 3 mos