Hi, my name is
I am
I design and ship AI-driven, cloud-native systems—from social apps and study engines to analytics dashboards and robotics projects.
Quick view of who I am, what I've built, and where I'm heading—so you don't have to dig for the important stuff.
Building AI-augmented platforms that combine full-stack engineering, cloud infrastructure, and LLM tools. Turning messy real-world workflows into reliable systems people actually want to use.
SDE Intern at Explore Digits (MCP platform & LLM tooling), ML & sensing research with UMBC, plus robotics/embedded systems across FTC, drones, and RC platforms.
B.S. in Computer Science at Georgia Tech (Intelligence & Information Internetworks). Previously at Centennial High School, leading CAD, WebDev, and Tech Journal clubs and building early ML and robotics projects.
Each project is paired with the metric it drives, so the stats line up directly with the work they describe.
Full-stack platform with real-time messaging, short-form video, long-form audio, and LLM-powered topic tagging built with Next.js, Node/Express, MongoDB, and Redis on a self-hosted stack.
Next.js · TypeScript · MongoDB · Redis · OAuth · LLM tagging
Lambda-powered pipeline that rewrites bullets, matches JD keywords, and renders multiple PDF templates—cutting manual editing time by ~70% and boosting callbacks.
AWS Lambda · DynamoDB · S3 · Next.js · LLMs
Ingests class PDFs, extracts key concepts, and generates practice questions with SM-2 scheduling, mastery dashboards, and “drill weak topics” workflows.
API Gateway · Lambda · Textract · Comprehend · DynamoDB · Next.js
I like boring-reliable infrastructure with just enough modern tooling to move fast: TypeScript everywhere, clean APIs, and observability built in.
Visual snapshots from robotics labs, PLTW projects, and computer science builds—bringing the hands-on work behind the code into focus.
