I’m a full-stack software engineer focused on building reliable, production-ready systems,
including AI-powered applications and data-driven platforms.
I’ve worked across startups and large-scale environments, designing and shipping features
that span frontend, backend, data pipelines, and testing infrastructure. I enjoy tackling
ambiguous problems, improving system reliability, and translating real-world requirements
into maintainable software.
Outside of coding, I’m an avid rock climber. I'm drawn to the same mix of problem-solving,
iteration, and persistence that keeps me engaged in engineering.
Built and owned major parts of a production AI interview platform spanning frontend, backend, and AI workflows.
⬥ Designed and shipped a multi-step AI interview system using React (TypeScript) and Python, integrating speech, transcription, and LLM-driven analysis.
⬥ Built secure authentication, data storage, and APIs to support real-time AI conversations and analytics.
⬥ Developed agentic pipelines for transcript summarization, sentiment analysis, and structured insight extraction.
⬥ Established automated testing and CI/CD practices, improving reliability and reducing production issues ahead of demos and releases.
⬥ Acted as the technical bridge between the CEO and offshore engineers, owning dashboard development and delivery quality.
Delivered AI-driven research tooling for a non-technical research team.
⬥ Designed a Python ETL pipeline to transform hundreds of pages of interview transcripts into analysis-ready datasets.
⬥ Built a content-aware LLM classifier to automate qualitative coding, saving weeks of manual work.
⬥ Implemented validation and testing strategies to surface edge cases and control LLM API costs before deployment.
⬥ Worked directly with a non-technical research lead to translate domain needs into reliable AI workflows.
Worked on large-scale, customer-facing systems serving millions of users.
⬥ Developed and optimized email and push notification systems, user feeds, and internal data pipelines.
⬥ Improved mobile and desktop performance by refactoring business logic, reducing load times by 500ms+.
⬥ Partnered with multiple engineering teams to migrate notification services to AWS.
⬥ Built observability tooling with Grafana to support on-call operations and performance monitoring.
⬥ Took on additional responsibility as Scrum Lead, supporting team delivery and operational health.
Early leadership experience managing teams in a fast-paced retail environment.
⬥ Supervised daily operations and mentored associates across multiple locations.
⬥ Onboarded new hires and created training documentation to support consistent team performance.
ClassPet is a task and token management web app designed to assist teachers, caretakers, and students in a remote learning environment, built in 3 weeks for the “Microsoft Azure US Hack for Accessibility” hackathon.
Microsoft Devpost Article (ClassPet link opens in a new tab)Plutus is a progressive web app that allows users to create a budget and visualize their spending by connecting a bank account.
Deployed Site (Plutus link opens in a new tab)UFO-Tofu is an e-commerce web app that allows users to adopt fictitious pets and allows admins to manage inventory.
Deployed Site (UFO-Tofy link opens in a new tab)Developed an MVP 2 player tabletop game over the course of a 4 day hackathon.
Source Code (Mahjon link opens in a new tab)This is a link to the github repo of my Portfolio Site
Source Code (Portfolio link opens in a new tab)