Engineer.
Builder. Leader.
I'm a full-stack software engineer based in Austin, TX, currently at General Motors where I own and drive a global fleet sales platform supporting billions in annual revenue.
With a background spanning clinical research, NLP/ML at Google, and enterprise software engineering, I bring precision, ownership, and end-to-end thinking to every project I touch.
I build across the full stack: Java Spring Boot backends, Angular and React frontends, Python data pipelines, Bash/PowerShell automation, Azure Synapse workflows, and Power BI dashboards. I also lead teams, mentor engineers, and drive CI/CD culture.
End-to-end ownership from stakeholder conversations to production deployments. I've mentored engineers, led subteams, and driven architectural decisions at enterprise scale.
Focused on continuous growth, deepening my craft, taking on bigger challenges, and building things that matter. Always learning, always shipping.
I once had a whole plan to become a pharmacist. Now I write code for a living. No regrets. Also, I watch panda videos in my free time. They are clumsy, chaotic, and somehow still thriving. Relatable.
Work Experience
- 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.
- 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.
- 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.
- 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.