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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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thejus03/README.md

Hi, I'm Thejus 👾🧑🏾‍💻

I'm a computer science student at the National University of Singapore (NUS)

  • I strive to solve complex problems to create real-world impact
  • During my free time, I build new projects or watch movies
  • I'm interested in learning about algorithms and AI

📚 Most recent projects

  • NUSMods - Timetable Optimiser
    • Engineered a high performance scheduling algorithm in Go that searches through millions of combinations to find the most optimal timetable based on user preferences.
    • Developed the frontend in Typescript while considering UI/UX for best experience.
  • Portfoli-O-matic
    • Developed a Robo-Adivisor for financial portfolio optimisation in Python
    • Designed the frontend in Next.js using TailwindCSS and ChakraUI
  • AI Chess Engine
    • Engineered the AI in Python using minimax with alpha-beta pruning, enhanced with Zobrist hashing amongst other optimisations.
    • Evaluates 5-ply moves ahead in <10s latency.
  • TrackTern
    • Developed a full-stack internship tracking platform in Next.js, adopted by 600+ users tracking 5000+ internship applications
    • Deployed on AWS EC2 with a scalable backend using MongoDB

📖 Languages

Python Go TypeScript JavaScript Java C++ PostgreSQL

🛠️ Technologies

FastAPI Flask Next.js React AWS Docker Node.js MongoDB PyTorch TensorFlow

Connect with me

Linkedin

PS: Keybindings 🙃

Vim

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  1. nusmodifications/nusmods nusmodifications/nusmods Public

    🏫 Official course planning platform for National University of Singapore.

    TypeScript 634 344

  2. ChessAI ChessAI Public

    Chess AI game in python using alpha beta pruning

    Python

  3. PortfoliOmatic PortfoliOmatic Public

    📈 Robo-advisory platform using Black-Litterman & MVO for risk-based personalised portfolio generation and simulation.

    JavaScript 1 1

  4. Text-Emotion-Neural Text-Emotion-Neural Public

    Neural Network created to find emotions in text

    Jupyter Notebook