Senior Software Engineer at Broad Institute of MIT and Harvard
Developer & UI/UX designer, building software and data pipelines to support cutting-edge biological & medical research at the Broad Institute of MIT and Harvard.
Architecting and implementing cloud-based data pipelines for genomic research and clinical diagnostics (Python · Google Cloud Platform · Terraform · PostgreSQL · Apache Airflow)
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Establishing automated testing, CI/CD, and documentation best practices (Unittest/Pytest · GitHub Actions · GitHub Wiki)
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Writing, designing, and prioritizing engineering tasks for sprints (Jira)
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Collaborating with cross-functional teams to deliver high-impact products such as:
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eMerge network: Co-developed NIH-funded polygenic risk reporting pipeline for 10 chronic conditions, contributing to Nature Magazine paper, delivering over 155000 test results to almost 25000 patients across 10 clinical sites
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COVID-19 testing: Maintained high-throughput automation pipeline that processed over 33 million COVID-19 tests in under 2 years, handling 1 in every 20 tests nationwide during peak operations
Developed scalable, reusable, and user-friendly frontend UI of flagship digital adherence platform within microservice architecture (Vue.JS · Nuxt.JS · Node.JS · Express · Moleculer)
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Implemented resilient, secure, and extensible API architectures (endpoints, server configurations, utility functions) that
create, read, process, and manipulate patient data used throughout platform (Node.JS · Express · Moleculer)
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Maintained and update database configurations to standardize user settings, interfaces, and communication cadences (MongoDB · NoSQLBooster)
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Built automated testing suites for deployed features (Jest)
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Contributed to planning/scoping sessions for and document technical aspects of feature development processes within Agile workflows (Jira · Confluence)
