• Contributed to the development of Clairvoyance, AI-powered high-content image analysis software designed for high-throughput workflows.

• Integrated interactive data visualizations to support scientific insight and decision-making.

• Built modular UI components using React.js, FluentUI, and TypeScript, enhancing usability and streamlining workflows.

• Designed and implemented a CI pipeline with GitHub Actions to automate builds, testing, and deployment.

• Developed unit tests using WebdriverIO, improving quality assurance and test coverage.

• Collaborated closely with scientists, designers, product-managers and back-end engineers to refine features and optimize performance for high-volume image datasets.

• Developed a Slack API–based application to send real-time alerts on equipment status within the fabrication facility (FAB), improving incident response times.

• Built web applications that helped reduce wafer scrap-rate, streamlining production operations and improving overall yield.

• Designed and implemented dynamic web reports with visualizations and key metrics to enable engineers to better analyze production yield data.

• Contributed to the team’s modernization efforts by exploring and integrating tools like Docker and the ELK Stack (Elasticsearch, Logstash, Kibana), gaining hands-on experience with modern DevOps practices.