Education
University of Michigan, Ann Arbor, MI — April 2023
Bachelor of Science with High Distinction — GPA: 3.99
Major: Computer Science
Major: Honors in Molecular, Cellular, and Developmental Biology
Skills
Languages: Python, R, JavaScript, TypeScript, SQL, C++, C, C#, Swift, Bash, HTML, CSS, LaTeX
Frameworks: React, Angular, .NET, Flask, FastAPI, R Markdown, Node.js, Quarto
Tools: GitHub, Kubernetes, Docker, AWS, GraphQL, REST, Terraform, Meilisearch, MongoDB, Conda/Mamba, SLURM
Bioinformatics & Data Analysis: large-scale genomic dataset analysis, machine learning (mikropml), statistical modeling (R, NumPy), data visualization (ggplot2), pipeline development (Snakemake), database management
Software: test-driven development, object oriented programming, continuous integration/continuous deployment, documentation, collaboration, peer review, agile methodology, cloud computing, web and mobile development
Experience
Optum
Associate Software Engineer (2024 - Present)
- Created an internal website to enforce engineering excellence principles and streamline development, deployment, and maintenance across teams. Presented at DevDays (internal technology conference), increasing project adoption.
- Refactored API using module design pattern, enhancing code maintainability and scalability.
- Implemented Jest testing to enhance software reliability.
- Overhauled core feature by redesigning the database schema, updating the UI, and adding caching, reducing load times by over 90%. Performed data migration to ensure backwards compatibility.
- Earned AWS Cloud Foundations certification, gaining expertise in cloud infrastructure and migration.
- Onboarded four new team members. Performed code reviews to ensure high-quality code integration.
Software Engineering Associate (2023 - 2024)
- Built a chatbot UI in TypeScript, integrating with a FastAPI backend for secure OpenAI communication.
- Collaborated with UI/UX team to design and develop a user-friendly email automation website.
- Presented project milestones to senior executives in biweekly leadership demos.
- Architected and developed a reusable checklist feature enforcing engineering best practices.
- Created and maintained CI/CD pipelines using GitHub Actions and cron automation, reducing manual deployment efforts.
- Mentored six interns, imparting skills in leadership, networking, and navigating their careers.
- Organized team-building activities, including an office-wide “Survivor” game, fostering community.
ACI Transport
Software Engineer (2023 - 2024)
- Dockerized a multi-application system using Docker Compose; enabled local testing of individual services.
- Developed features in an Angular application with a .NET backend using C# and JavaScript. Conducted xUnit and regression tests.
University of Michigan
Bioinformatics Research Assistant - Schloss Research Lab (2021 - 2023)
- Trained machine learning models using mikropml (R package) and Snakemake reproducible workflow to predict severity of C. difficile infections based on the composition of patients’ gut microbiomes.
- Analyzed model performance using AUROC and AUPRC curves generated in R.
- Developed reproducible workflows to streamline analysis of continuously evolving genomic datasets, improving efficiency and scalability.
- Presented at research symposiums, earning second place at the Microbiology and Immunology Undergraduate Research Symposium and a travel award at the Undergraduate Research Symposium.
Undergraduate Research Assistant - Montgomery Research Lab (2020 - 2021)
- Collaborated with Zimmerman lab to perform computational analysis of the interference of catalysts in glycoside synthesis pathways using Athena (software).
- Computed thermodynamic feasibility and informed lab members about effective polysaccharide synthesis.
Teaching and Outreach
Instructional Aide - EECS 281 (2021 - 2023)
- Taught weekly discussion section for 30-40 students about concepts related to lecture material.
- Assisted students individually during office hours. Mentored students as they debugged their 1000+ line projects, structure code, and select data structures.
- Managed administrative team of seven instructional aides. Primary liaison between students and professors. Coordinated room assignments and assigned staff members to lab sections.
- Devised exam questions. Evaluated student performance on exams.
MRADS/WISE RP Study Group Leader (2020 - 2021)
- Guided virtual study groups each week for Math 116 students. Designed worksheets and introduced calculus concepts.
Presentations
| Event | Title | Location | Date | Authors | Type |
|---|---|---|---|---|---|
| Optum Dev Days Conference | Volcan: Melting Down Barriers to Code Security | Virtual | Sep 2024 | Oral presentation | |
| University of Michigan Microbiology and Immunology Undergraduate Research Symposium | Predicting C. difficile infection severity based on gut microbiome composition | Ann Arbor, MI | Apr 2023 | Oral presentation | |
| University of Michigan Undergraduate Research Symposium | Predicting C. difficile infection severity based on gut microbiome composition | Ann Arbor, MI | Apr 2023 | Poster presentation | |
| ASM Microbe conference | Predicting C. difficile infection severity based on gut microbiome composition | Washington, D.C. | Jun 2022 | Oral presentation |
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Publications
| Authors | Date | Title | Publication Location |
|---|---|---|---|
| 2023 | Predicting Severity of C. difficile Infections from the Taxonomic Composition of the Gut Microbiome. | Manuscript in preparation | |
| 2023 | Software accompanying the manuscript: Predicting Severity of C. difficile Infections from the Taxonomic Composition of the Gut Microbiome (v0.1.0). | Zenodo | |
| 2023 | Predicting Severity of C. difficile Infections from the Taxonomic Composition of the Gut Microbiome. | Honors thesis |
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