› Spearheaded development of the Jobs Layer feature, which allows users to view and manage ETL jobs running in the cloud. Authored a comprehensive project plan, developed new API endpoints for the back-end codebase, and built a dynamic view for the front-end single-page application (SPA) using TypeScript and React. Identified and resolved performance issues in the alpha release by optimizing MySQL database queries.› Led the migration of core microservices to an asynchronous architecture, resulting in an 84% average reduction in endpoint latency. Conducted comprehensive benchmarking to identify performance bottlenecks, systematically tested alternative sources of latency (e.g. database performance, CPU/memory limitations), and successfully designed and implemented a migration from Flask to FastAPI.› Achieved #3 contributor for datajoint-python: the company’s primary open-source product, which facilitates rapid development of reproducible ETL pipelines. Contributions include optimizing graph algorithms along the critical path, as well as modernizing unit testing, the PyPI release process, and the CI/CD workflow in GitHub Actions.› Maintained and released an authorization plugin written in Rust (pam-oauth2) that authorizes MySQL users against an external OIDC provider such as KeyCloak. Fixed several critical bugs, deployed the plugin to the Percona cluster in Kubernetes, and monitored the plugin’s performance as it was rolled out to the production environment.› Delivered a secure file browser feature for the company's primary SaaS product. Led the system design phase, including requirement gathering and comparison of Python and Golang-based approaches. Self-taught Golang, which empowered me to lead development and deliver the feature on time.

› Led development of the first major backend refactor for RecEngine: the organizations’s primary user-facing product, which recommends new jobs and careers to over 15,000 users.› Identified bottlenecks in the RecEngine v1 backend system, conceptualized a more performant design, and led the project from the design phase to deployment and maintenance. The new backend reduced the latency of mission-critical services by 8-fold, resulting in a smoother user experience.› Took full ownership of RecEngine data pipelines, driving the development of new ETL components using AWS Lambda and NoSQL in an Agile Scrum environment. Managed infrastructure with Terraform and collaborated closely with the data science team to optimize workflows.

› Assisted users of TACC's HPC systems, involving hands-on support such as profiling, optimization, and debugging of scientific software written in C, C++, and CUDA.› Designed and developed a high-throughput, cloud-native ETL pipeline in collaboration with Nobel laureate David Baker. Utilized Python, TensorFlow, and Pandas to automate the analysis of protein stability.› Managed a team of 4 developers during their summer fellowship. We modeled the effects of mask-wearing and social network structure on COVID-19 transmission.› Conceptualized, developed, and released Episimlab, an open-source Python package for running complex epidemic simulations, which uses Dask and Xarray. These simulations enabled Austin Public Health officials to forecast healthcare demand and assess mitigation measures during the COVID-19 pandemic. These forecasts reduced COVID-19 transmission rate in Austin by 14%.

› Maintained and debugged RESTful Django API for the Level Gaming website, which hosts E-sports tournaments, servicing over 4,000 users.› Developed the Draft League feature, which groups users into teams based on user preferences and skill level.› Refactored SQL queries for high-latency endpoints, reducing response latency 78% on average.› Implemented site-wide cookie GDPR compliance.

› Collaborated with computer engineers, biochemistry instructors, and virtual reality (VR) specialists to develop a prototype molecular structure viewer for VR headset› Acquired self-taught proficiency in JavaScript and A-Frame

› Designed and performed biochemical experiments to study Endonuclease G, a protein with critical function in cell development, cancer pathogenesis, and genetic disorders› Modeled protein-DNA interactions via molecular dynamics simulation on HPC systems› Developed a Python module that mines structural proteomics databases and identifies drug binding pockets in protein crystal structures› Trained two graduate students who joined the lab

› Oversaw training of three undergraduate students entering Dr. Kelly Chacón’s lab› Maintained a clean and orderly lab environment› Collaborated with researchers at Oregon Health Science University to submit a draft of our research to Nature Communications Biology, which was published in 2018

› Assisted five undergraduate students in raising their grades in Inorganic Chemistry› Improved tutoring and conflict resolution skills at training workshops

› Generated >21,000 energy-minimized molecular structures via quantum chemistry simulations on the NIST HPC system› Developed and implemented a Python-based pipeline for automated data mining, file organization, and structure deposition to the NIST Chemistry WebBook