Architected and led development of a code generation framework in AWS cloud, supporting Go, Java, Python, TypeScript, automating banking product launches and slashing lines of code needed to release a product 20-fold. Successful adoption resulted in my leading a team of engineers for continued development.

Designed and developed a REST API and Angular Web UI for real-time rate lookups, serving 10K+ frontline associates daily.

Reduced production incidents 10-fold by leading major AWS cloud infrastructure overhauls, Redis cache optimizations, cross-language migration of a major REST API, and data standardization efforts.

Cut the number of AWS microservices 3-fold by optimizing service architecture and reducing duplication, leading to a significant reduction in cloud costs.

Remedied a complex live SQL database failure affecting 30K+ users during the holiday peak period, preventing major financial losses.

Designed and implemented a novel C# state machine framework in Unity to automate UI testing flows, reducing manual testing time for an interactive VR experience.

Integrated Unity Analytics for real-time usage pattern collection, improving bug resolution workflows during pre-release development.

Collaborated with engineers and UX designers to validate user flows for a large-scale expo VR experience.

Contributed to cloud infrastructure planning, evaluating AWS and third-party solutions for mobile device testing to replace on-premise hardware.

Owned iOS platform infrastructure for an in-house Dockerized CI/CD cloud build system serving thousands of daily builds across R&D and release management.

Proposed and implemented virtualization optimizations that reduced physical device server hosts from ~100 to 5 for iOS test execution.

Replaced macOS agents with Dockerized Linux hosts for iOS test deployment, drastically reducing automated test execution time.

Built a C# tool in the Unity Editor for collecting and reporting build pipeline statistics across Android and iOS applications.

Led a hackathon team in building a prototype ML-powered search engine for internal knowledge base, exposed via REST API and Slack integration.

Maintained iOS platform support codebase, debugging and resolving issues in C# and C++.

Built a Python NLP model to automatically classify and prioritize user-submitted bug reports, surfacing high-quality reports daily via Google Sheets and reducing manual triage time.

Developed a Python-based Slack bot to monitor bug verification queues, automatically notifying QA engineers of pending verifications and escalating to managers when SLAs were missed. Adoption of this tool contributed to my promotion to Software Engineer.

Performed iOS platform testing, analyzing and reproducing user-reported bugs, authoring detailed reports, and collaborating with mobile engineers through resolution and verification.