Skip to content
View kaylynhl's full-sized avatar
1 follower · 1 following

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Highlights

  • Pro

Block or report kaylynhl

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kaylynhl/README.md

Hi, I'm Kaylyn.

I'm a Cornell CS graduate building full-stack products, backend APIs, and data/AI-assisted workflows.

Recently, I’ve been working across React, TypeScript, Node.js/Fastify, PostgreSQL, Docker, AWS, CI/CD, and automated testing. I like owning the full path from UI and API design to persistence, deployment, and reliability.

Some of my strongest work is in private client, research, or team-owned repos, including platform engineering for Lumecon.ai, production web development for RReveal Design Studio, and ML/CV pipeline work at Cornell.

Selected work

  • Lumecon.ai / TEIM Platform — full-stack economic analytics platform with authenticated intake workflows, source review, results, exports, backend APIs, PostgreSQL persistence, Dockerized deployment, CI/CD, and integration boundaries with external AI/model systems.

  • RReveal Design Studio — private production Next.js/TypeScript site with interactive project pages, responsive UI, accessibility support, SEO infrastructure, security headers, rate limiting, and deployment hardening.

  • Cornell Bee CV Pipeline — private research pipeline for 20,000+ annotated bee images, including deterministic dataset preparation, deduplication, missing-label handling, and YOLO OBB training support.

  • VibeCheck — AI aesthetic classification and recommendation pipeline using Python, FastAPI, React Native, Groq Vision, CLIP-LoRA, and pytest.

Email  LinkedIn

Pinned Loading

  1. vibecheck vibecheck Public

    AI aesthetic classification and recommendation pipeline using FastAPI, React Native, Groq Vision, CLIP-LoRA, and pytest.

    Jupyter Notebook

  2. graph-navigation-simulator graph-navigation-simulator Public

    Java graph-navigation simulator featuring deterministic search and weighted shortest-path planning, with refactored concurrency and tests/CI.

    Java

  3. concurrent-priority-queue concurrent-priority-queue Public

    Concurrent priority queue in Harmony with atomic specification, lock-based implementation, and black-box differential testing.

  4. csv-query-engine csv-query-engine Public

    Tiny OCaml query language for CSV tables: load, project, rename, join, print, and save results.

    OCaml

  5. async-chat-ocaml async-chat-ocaml Public

    Terminal TCP chat application in OCaml using Lwt for asynchronous client-server messaging.

    OCaml

  6. ocaml-priority-queues ocaml-priority-queues Public

    OCaml hospital triage simulator using functorized priority queues (list + tree) with tests and CLI.

    OCaml