• Develop a REST API which transforms database queries into transaction report responses for clients

• Diagnose and resolve production issues within a monolithic application that processes millions of transactions per second for thousands of merchants

• Overhaul existing Java backends to add new features in Javascript user-interfaces

• Optimize SQL queries for up to 10-fold improvements in joining and filtering data

• Build and host REST APIs on AWS to serve company data and interface with external APIs

• Design and implement React UI for standardizing upload of assay data and metadata by scientists

• Author Python modules for running data analysis workflows and handling cell line and drug metadata

• Curate public datasets and train multitask machine learning model for making biological predictions on 600 cell lines and 1000 drugs

• Developed a suite of 8 workflows to afford scientists access to bioinformatic software and analyses on Google Cloud Platform

• Re-engineered a Matlab RNA alignment and quantification program in Python for enhanced performance and maintainability

• Improved user-interface for analysis and visualization of a single-cell database to empower data exploration by the global science community

• Managed organization and archival of sequencing data across a Google Cloud server farm to reduce costs of storage by thousands of dollars per month

• Associated positions: Applications Analyst at Ragon Institute, Affiliate at Broad Institute & Koch Institute

• Devised a Python and Bash pipeline on Oracle Grid Engine to analyze cancer mutation data

• Scripted Python and Bash programs to align raw sequencing data and validate integrity