About
I'm a full-stack software engineer at General Motors, owning a global fleet sales platform that supports billions in annual revenue. I work across the entire stack — from Java Spring Boot backends to React frontends, data pipelines, and CI/CD.
My path here was anything but straight. I started in clinical research, detoured through a plan to become a pharmacist, found my way to a Google internship doing NLP and ML work, and ended up building enterprise software at scale.
I care about precision, ownership, and building things that actually work in production. I've led teams, mentored engineers, authored user stories, and resolved incidents at 2am. The chase never stops.
Also, I watch panda videos in my free time. They are clumsy, chaotic, and somehow still thriving. Relatable.
Experience
Software Engineer
General Motors
Software Developer Intern
Google
Clinical Research Coordinator
MediSync
Research Data Entry Associate
PPD
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career path
Work Experience
Software Engineer
General Motors · Austin, TX
- Developed and optimized the global Fleet Sales web application, a mission-critical platform supporting billions of dollars in annual revenue as a full-stack engineer across Java Spring Boot / Maven backend and a Node.js-based frontend using Angular, Next.js, and React.
- Designed and implemented RESTful APIs, data models, and optimized SQL queries supporting reporting, analytics, and high-volume transactional workflows across multiple downstream systems.
- Served as Application Owner for one production application, Co-Owner for a second, and Dev Lead for a subteam driving roadmap, technical decisions, application health, and day-to-day execution.
- Partnered with business stakeholders to gather requirements, author user stories, assign work across the team, and align technical solutions with business priorities.
- Provided on-call production support, resolving critical incidents within same-day SLAs to maintain high application health scores.
- Built and maintained CI/CD pipelines, led the migration to GitHub Actions, and expanded unit, integration, and automation test coverage while reducing tech debt.
- Contributed to the rewrite and production deployment of 5 legacy applications; mentored 2 new engineers through onboarding and led recurring knowledge-transfer sessions.
Software Developer Intern
Google · Remote
- Fine-tuned BERT-based NLU models for text classification, improving intent recognition accuracy.
- Built data preprocessing and evaluation pipelines in Python to support model experimentation and reproducibility across training runs.
Clinical Research Coordinator
MediSync · Austin, TX
- Collected, documented, and analyzed clinical data supporting patient eligibility, admissions, and outcomes reporting.
- Built lightweight data-entry interfaces and used trend analysis to identify quality and workflow improvements.
Research Data Entry Associate / Coordinator
PPD · Austin, TX
- Developed a sorting algorithm and co-authored an SOP that improved data-query resolution efficiency by 56%.
- Ensured accuracy and timeliness of clinical data entry; recommended system improvements adopted across the team.
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technical toolkit
Skills & Expertise
Frameworks & Frontend
Spring Boot / Maven
Angular
Next.js
React
Node.js
REST APIs
Languages & Scripting
Java
JavaScript / TypeScript
Python
SQL
Bash / PowerShell
Data & Analytics
Power BI
Azure Synapse Workflows
Data Pipelines
Reporting & Analytics
ML / NLP (BERT)
DevOps & Tooling
GitHub Actions CI/CD
Docker
Unit & Integration Testing
Automation Testing
Production On-Call
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academic background
Education & Credentials
B.S. Computer Science
Texas State University · San Marcos, TX
★★★
Clinical Research Background
6+ years in clinical data environments before pivoting to software, bringing rigor, traceability, and correctness to every codebase.
Applied ML at Google
Hands-on experience training and evaluating transformer-based NLU models at Google scale, with reproducible benchmarking pipelines.