nugglet

nugglet

Robotics and Computer Vision Researcher @ Robotics Innovation Lab, Gamer, (future) Dog Owner

CV

Education

  • B.Eng. in Computer Science and Design, Minor in Artificial Intelligence, Honours, Singapore University of Technology and Design, 2022
  • A-Level [Music, Math, Physics, Chemistry], 2018

Work experience

Robotics Innovation Lab (SUTD), Singapore

Researcher, Apr 23 - Present

JustAce, Singapore

Co-Founder, Software Engineer, Jan 21 - Aug 22

  • Project: EdTech Startup Company
    • Designed and iterated on business model through rigorous rounds of research and market validation
    • Participated in several rounds of fund raising through pitching to boards of potential investors and mentors
    • Engineered a platform of educational tools to assist the learning and engagement of parents and students aged 10-19 under Singapore’s education syllabus
  • Skillsets: Deep Learning, NLP, MLOps, Web Development, Front/Back-End Development, DevOps, UI/UX, Graphics and Marketing

RippleCreate, Singapore

Software Engineer, Feb 22 - Apr 22

  • Project: Integrated Web Portal with Real-Time Machine Learning Data
  • Skillsets: Web Development, UI/UX, Data Visualisation, VOIP, DevOps, JavaScript, TypeScript

STMicroelectronics Asia Pacific Ltd, Japan

AI Intern, May 21 - Sep 21

  • Project: Neural Network Research and Development for Embedded Devices
  • Skillsets: Deep Learning, Data Analysis, Data Wrangling, Microcontrollers, Data Collections, Data Visualisation

Skills

Programming Languages: Python, JavaScript, Java, C, C++, C#, SQL, Elixir, HTML, CSS Frameworks & Libraries: Pytorch, Tensorflow Keras, Node.js, React.js, Express.js, PostGreSQL, LaTex, OpenCV, OpenGL Software Skills: Windows, Linux (Ubuntu), Git, Unity, Android Studio, Figma, Adobe Photoshop & Illustrator, Sibelius

Academic Projects

See my github for more information

Reinforcement Learning for Splendor Board Game July 22 – Aug 22

  • Designed and iterated on an AI model to play the board game Splendor using Deep Q Learning.
  • Designed the model’s environment, actions, simplified problem, and game logic.
  • Assisted in creation of a graphical user interface in React.js for the MinMax Algorithm.

Research in Object Detection and Classification for Sketch Images Jan 22 – Apr 22

  • Investigate methods to increase image classification with greater shape bias using image augmentation techniques (i.e. Gaussian Blur, Gaussian Noise, Colour Distortion)
  • Implemented CNN models with transfer learning from ResNet-50 and AlexNet in PyTorch
  • Trained and tested on the ImageNet-Sketch Dataset with inference testing on a custom dataset of our own hand-drawn sketches.

MBTI Personality Multi-Label Classification using NLP Techniques on Social Media Posts Aug 21 – Dec 21

  • Investigated various machine learning and deep learning models for MBTI classification of a collection of social media posts from the Kaggle MBTI dataset to predict the personality of the authors • Prototyped and implemented of various model architectures (i.e. Traditional ML, LSTM, BERT) using PyTorch and Keras • Evaluated on a classification report of AUROC, Precision, Recall and F1 scores. The BERT model returned the best results

Discord Bot Development for Investigation on Network Architectures Aug 21 – Dec 21

  • Researched and developed a testing methodology to measure the VOIP call quality of Discord’s voice channels
  • Conducted experiments using two Discord bots to send and record audio respectively, created in Node.js
  • Recorded, assessed, and compared the VOIP quality using the Mean Opinion Score (MOS) using packet loss, latency and jitter data obtained with Wireshark

Co-Curricular Activities

  • SUTD Funktion, 2019 - 2022
  • SUTD Mindsports, Game Design Club, 2019 - 2022

Hobbies

Music (Voice, Piano, Composition), Traditional and Digital Art, Dance, Gaming and Game Design