• Built the GenAI chat framework now used across three product lines — GenAI DAG Generation, GenAI Analytics, and GlobalAI — reducing per-feature AI integration to near-zero rework; early beta customers reported 80% faster workflow building.

• Shipped Rule Recommendations Agent (for workflow optimization) frontend end-to-end from scratch — recommendations panel, performance analytics, filtering, and feedback loop; recognized at launch as a "frequently requested feature and huge milestone."

• Delivered full workflow testing system supporting a 35K-record fintech deployment as a key contribution to a company-wide P0 initiative.

• Owned the expression system underpinning every workflow feature; extended and maintained it across 5+ downstream products without regression.

• Transitioned to full-stack AI engineering on the Fast AI Agents team, taking ownership of features end-to-end across API, AI backend, and frontend.

Member of the Globalization team, building tools for dubbing and subtitles, on the Logistics Management track:

• Championed Code Health initiatives, integrating tools that elevated code quality by 20% and reduced maintenance costs by 15%.

• Addressed the most challenging system bugs, significantly reducing user-perceived latency in both the UI and backend, restoring user trust by 70%.

• Spearheaded the implementation of essential backend features for various projects, ensuring the successful completion and launch.

• Emphasized user-centricity by prioritizing improvements based on feature usage data, leading to a 25% increase in user satisfaction.

• Played a key role in building the Opportunities track of the Ads Sales Force CRM, overseeing a substantial revenue of 90+ billion dollars with a codebase exceeding 500k lines of code.

• Spearheaded the domain layer revamp, leading to faster development (20% reduction in coding time), improved testing efficiency (30% decrease in test execution time), and enhanced code quality (15% fewer bugs), contributing to a $1 billion+ revenue increase.

• Acted as a Code Health champion across teams and mentored an intern to enhance static analysis tooling, while also advocating for latency reduction measures

• The code I developed remains in production after 7 years, highlighting its robustness and quality.

• Successfully facilitated the rapid launch of AutoML Vision for Object Detection amidst a PR crisis, showcasing adaptability and resilience under pressure. Despite significant organizational changes, including turnover in management from manager to SVP.

• Collaborated with the Data Center planning team as a full-stack engineer, leveraging technical expertise to support strategic planning initiatives.

Member of the development team in the Apigee Edge product.

• Pioneered the UI product and established CI/CD protocols from inception, optimizing development efficiency by 30%.

• Managed diverse branches for On-Premises Deployment, ensuring seamless maintenance across environments.

Software Engineer working for Apigee in the UI team building the web interface for the API Platform.