o Led end-to-end development and launch of a major A/B experiment for the Word-to-PDF flow (10M+ MAU), improving the convert-page speed by 51% and driving a 7.51% lift in sign-ins for the experiment.

o Co-led rebuilding the full 26 verb page (PDF→X, X→PDF, Chat with PDF, etc.) funnel, helping to scale the user base to 200M+ MAU.

o Assisted in expanding the AI Assistant, enabling a new GenAI funnel now used by 10M+ MAU.

o Developed an LLM-powered Smart Sign solution during Hackweek, delivering a functional MVP and selected as one of the top 10 org-wide demos.

o Improved thumbnail rendition loading performance by 85% for 3.75M+ signed-in Acrobat users.

o Modernized dropzone experience and enabled clickable file uploading for 20+ conversion verbs, benefiting 80+ million monthly active users. (Link: https://www.adobe.com/acrobat/online/pdf-to-word.html)

o Developed the PNG to PDF dropzone functionality and workflow using ReactJS. (Link: https://www.adobe.com/acrobat/online/png-to-pdf.html)

o Developed an internal ReactJS SEO framework, earning a SPOT award and optimizing the organization's SEO process.

o Led a Hackweek project utilizing Splunk API and Machine Learning to enhance Observability alerting and error monitoring.

o Proficient in software development and engineering, specializing in ReactJS and related libraries/frameworks.

o Active hiring panel member for conducting technical SWE interviews.

o Developed anomaly detection algorithm using Seasonal Trend Decomposition with Locally Weighted Linear Regression to reduce noise in Splunk Alerts.

o Created five Observability Splunk Dashboards for monitoring server error behavior, performance, and usage.

o Enhanced automated Splunk Reports and Alerts.

o Presented in Engineering Sprint Demos and achieved top 25 ranking in the Intern Project Expo among 633 participants.

o Developed and maintained UI regression tests using Selenium.

o Implemented distributed/parallel performance load tests with Selenium Grid and Python.

o Collaborated in design/technical reviews to ensure accurate assumptions.

o Led nightly regression and benchmarking tests on AWS EC2, reviewing automated email reports.

o Assisted in releasing new build versions across UI, API, and DB layers.