• Built an engine using Python to flag patient cases that require a pathologist's review and backfilled results for ~20K historical cases, improving accuracy and efficiency of the quality assurance process.

• Worked with the lab team to integrate new instruments into the lab system using React and Flask, resulting in a 100% increase in output and improved productivity.

• Championed the adoption of front-end testing and facilitated the transition from JavaScript to TypeScript for the lab system, enhancing code quality and maintainability.

• Regularly participated in technical design discussions and reviewed colleagues' work for five lab projects, contributing to team success and ensuring adherence to best practices.

• Created an admin console using Django that allows the Customer Success team to self-service the retrieval and update of customer data, reducing engineering involvement and improving response rate to customers.

• Fixed bugs and implemented new features in the pilot systems software using C++, improving performance and functionality.

• Automated manual tests for the pilot display systems using a proprietary domain-specific language, reducing testing time and ensuring consistent results.

• Designed and implemented the front-end of internal tools using JavaScript and React, resulting in an intuitive user interfaces.

Collaborated with Business System Analysts to design, review, and implement data pipelines, ensuring efficient data flow and supporting digital transformation initiatives.

Worked with a team to create an ETL pipeline that ingests, curates, and publishes data using Python, Spark, and SQL, resulting in improved data processing efficiency and accurate data delivery.