Apr 2026 – Present · 1 mo · Noida

• Recently stepped into a technical leadership role, driving backend architecture and engineering direction for TestMu AI's real-device testing platform.
• Focus areas:
• Scaling backend infrastructure for 1,000+ devices and 300+ enterprise customers evolving distributed scheduling, orchestration, and caching layers for the next phase of growth
• Driving AI/LLM integration across engineering and testing workflows embedding language models into test automation, failure classification, and developer tooling
• Setting technical standards, leading architecture reviews, and mentoring backend engineers across the team
• Owning cross-team alignment on platform reliability, performance, and infrastructure cost efficiency

Jan 2025 – Mar 2026 · 1 yr 2 mos · Noida

• Led backend development for real-device testing infrastructure designing and shipping distributed systems powering session orchestration, device scheduling, and test execution at scale.
• Key work:
• Cut end-to-end APK/AAB provisioning latency by 55% by redesigning the download and caching pipeline in Go eliminated a blocking bottleneck that was degrading session startup for all device-farm customers at peak load
• Architected and shipped a Device Reservation System for 1,000+ private-cloud devices time-slotted scheduling with conflict resolution, priority queues, and admin override. Built in Go with Redis distributed locks for consistency under high concurrency. Improved QA team utilization by 35% and eliminated double-booking incidents
• Designed and implemented Video Injection support on real Android & iOS devices enabling high-fidelity app testing for multimedia-critical applications

Jul 2022 – Dec 2024 · 2 yrs 5 mos · Noida

• Owned end-to-end development of core backend systems and flagship features powering TestMu AI's real-device testing platform contributing across distributed systems, debugging infrastructure, and developer tooling.
• Key work:
• Shipped 5 flagship real-device features — Image Injection, Video Injection, Biometric Authentication, Screenshot Unblocker, and App Profiling extending test coverage to 100+ security-critical apps and monitoring 15+ performance metrics. Directly contributed to $100K–$200K+ enterprise deal closures
• Built the UI Inspector for Android & iOS from scratch a real-time element-tree inspection service over WebSockets. Cited in multiple six-figure enterprise deal closures as a platform differentiator
• Reduced Android app patching and upload costs by 66% — re-architected the patching pipeline and migrated artifact storage from S3 to Cloudflare R2
• Revamped App Automation dashboard APIs profiled and eliminated N+1 query patterns, tuned caching strategies. Cut CPU spike frequency by 30% and DB load by 25% during peak concurrent sessions
• Architected the Retina debugging microservice and Replay System session-capture and playback pipeline letting support engineers reproduce device-side failures without re-running tests. Reduced median issue diagnosis time by 60%, enabled the team to handle 2.5x more cases daily
• Introduced MITM proxy-based network log capture into the real-device test pipeline providing deep HTTP/S visibility across 200+ daily device tests and cutting average issue resolution time by 35%

Jan 2022 – Jun 2022 · 5 mos · Noida

• Built integrations and tooling that made TestMu AI accessible to developers across popular mobile testing frameworks and CI/CD platforms.
• Key work:
• Integrated TestMu AI as a cloud provider in Appium Inspector adopted by 5,000+ developers with 40% improvement in test workflow speed
• Led Espresso Framework support implementation expanded Android app compatibility to 95% and drove 35% increase in Android developer adoption
• Built custom Bitrise pipeline steps for TestMu AI integration reducing CI/CD setup time by 40% for 300+ global teams