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It's not a bug, it's a feature!
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It's not a bug, it's a feature!
16 followers · 12 following

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Highlights

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Neo-Zenith/README.md

About ⭐

Typing SVG

  • 👋 Hi! I am Lee Juin.
  • 👨🏻‍💻 Software Engineer at TikTok.
  • 📜 Bachelor of Computing in Computer Science at NTU Singapore (2021-2024)
  • 🔗 Website, LinkedIn

Education

Work Experience

Featured Projects

ATLAS: Web-based Automated Transcription & Speaker-Label Analysis System

  • Final-year capstone project on a web application for speech diarization and automatic speech recognition (ASR).
  • Allows users to upload or record audio for analysis, accurately distinguishing speakers and transcribing their speech.
  • Built backend with Node Nestjs and MongoDB database and developed the frontend with React.
  • Designed an optimized chunk-based upload strategy to handle recording files of various sizes.
  • Implemented microservice architecture and explored on ways to implement horizontal auto-scaling with k8s containers.
  • Integrated industry-standard CI/CD tools such as Jenkins and Synk code security to improve development efficiency and code quality.

JobWise: Application Tracker as-a-Service

  • Co-developed a web app that tracks LinkedIn job applications and provides tailored resume analysis, feedback and scoring.
  • Integrated Google Gemini for prompt engineering to produce application-specific resume feedback.
  • Built backend with Java Spring Boot and PostgreSQL database, implemented server-side caching with Azure Cache for Redis.

QuickMafs: LLM-integrated Convex Optimization Code Generator

  • Co-developed a web app that translates plain English expression and high-level code to embedded system code using React and Express.js.
  • Utilized Microosft TrOCR for handwriting recognition and expression parsing.
  • Utilized MaterialUI for frontend design and styling.
  • Automated deployment to Azure Cloud VM using GitHub Actions workflow pipeline on code push.

aSES: Automated Student Engagement System

  • Co-developed a system that dynamically detects a student's engagement level based on eye aspect ratio (EAR).
  • Developed a dashboard that visualize a timeseries of total students engagement level using Chart.js.
  • Built the eye detection script using a pre-trained model using OpenCV.
  • Implemented a CRUD server using Django for interaction between eye detection script, dashboard and the PostgreSQL database.

FindR: E-Commerce Price Comparison Web App

  • Co-developed a full-stack web application using Django, React and PostgreSQL where users can search, filter, and compare prices of items sold on e-commerce platforms.
  • Utilized Selenium for web scraping across diverse e-commerce platforms, extracting product data to create essential mock datasets for demonstration purposes.
  • Deployed the web app using Azure App Service.
  • Documented the backend API specifications using Postman to provide clear and comprehensive documentation for developers.

Productivity

From: 25 December 2025 - To: 01 January 2026

TypeScript    1 hr 21 mins    >>>>>>>>>>>--------------   44.97 %
CSS           46 mins         >>>>>>-------------------   25.82 %
JavaScript    40 mins         >>>>>>-------------------   22.31 %
JSON          5 mins          >------------------------   02.88 %
Other         4 mins          >------------------------   02.62 %

Connect with Me

LinkedIn Email GitHub

Pinned Loading

  1. quickmafs quickmafs Public

    A LLM-integrated code generator for embedded convex optimization, addressing the challenges engineers face in translating complex mathematical expressions with convex objectives into efficient C co…

    JavaScript 5

  2. ases-automated-student-engagement-system ases-automated-student-engagement-system Public

    A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).

    Python 7 2

  3. text-message-sentiment-analyzer text-message-sentiment-analyzer Public

    A mini-project on emotion classification using NLP for the course SC1015: Introduction to Data Science & Artificial Intelligence.

    Jupyter Notebook 3 3

  4. sc2006-findr sc2006-findr Public

    Forked from lohiavardhan/sc2006_project

    A web app that allows online shoppers to compare product prices from different platforms with just a single search.

    JavaScript

  5. sc4052-job-application-tracker sc4052-job-application-tracker Public

    A job application tracking system that auto-tracks job application on LinkedIn and leveraging Google's Gemini GPT to provide job-specific resume analysis, feedback and scoring.

    JavaScript 1 1