Hi,

I'm Thanh

Machine Learning Engineer

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About

About

Penultimate Computer Engineering undergraduate with Data Engineering minor from National University of Singapore.
Enthusiastic learner with a passion for and Machine Learning and Artificial Intelligence.
Passionate about reading and re-implementing research papers.

My Resume

Qualification

Refer to my resume for details
Work
Education

Machine Learning Engineer Intern

SABIC Asia Pacific Pte Ltd - Singapore
01/2024 - Now

Applied AI Engineer Intern

Amaris.AI - Singapore
05/2023 - 08/2023

Teaching Assistant

National University of Singapore
01/2023 - 05/2023

National University of Singapore

Bachelor of Computer Engineering, Minor in Data Engineering
CAP: 4.69/5.00
2021 - 2025

Hanoi - Amsterdam High School for the Gifted

Major in Physics
GPA: 9.8/10.0
2014 - 2018

Projects

Portfolio

FastSpeech 2 Implementation

• [In progress] Implementing TTS model FastSpeech2 architecture with PyTorch from scratch based on "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech" paper.

• [In progress] Creating my own dataset base on LJSpeech dataset scripts and trained the model to generate my voice

GitHub
Portfolio

EnVi Neural Machine Translation

• Implemented Transformer architecture with PyTorch from scratch based on "Attention is all you need" paper.

• Experimented and trained the model with IWSLT’15 English-Vietnamese dataset containing 133K sentence pair.

GitHub
Portfolio

Distracted Driver Detection

• Fine-tuned and experiments on several pre-trained models, including VGG16 and InceptionV3 with Tensorflow on Distracted Driver Dataset, culminating in a noteworthy 0.92 accuracy rate.

• Best Project Award for CS3244 Machine Learning in the 22nd NUS School of Computing Term Project Showcase [Certificate]

GitHub
Portfolio

Tokka Labs Quant Challenge 2024

• Analyzed historical market data of 10 cryptocurrencies, and developed a machine learning pipeline using LightGBM to forecast 10-minute log returns, achieving an average Pearson correlation coefficient of 0.047.

• Secured top 6 with 1000USD consolation prize. [Link]

GitHub
Portfolio

National AI Challenge 2024 - Pet Adoption Speed Prediction

• Analyzed PetFinder adoption data to identify key factors influencing adoption rates and developed a end-to-end machine learning pipeline to predict pet adoption speed, enhancing placement efficiency.

• Top 15 Finalist

GitHub
Portfolio

MonKey - A finacial tracking mobile app - Orbital 2022

• Programmed a cross-platform application for tracking transactions, enhancing financial management with customisable features, developed front-end with React Native and integrated with back-end using Firebase.

• Apollo 11: Advanced Level of Achievemen. [Certificates]

GitHub

Skills

Programming Languages

  • Python
  • C++
  • Java

AI / Machine Learning

  • scikit-learn, LightGBM
  • PyTorch, LangChain
  • Weight&Biases
  • HuggingFace, Optuna

Database / Data Processing

  • SQL, MySQL
  • Hadoop MapReduce
  • Apache Spark

Cloud Service

  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

Hardware

  • FPGA Programming (Verilog)
  • Raspberry Pi
  • Arduino

Others

  • Git
  • Docker, FastAPI
  • Streamlit

Certificates

AWS Certified CLF-C01

AWS CLF-C01

AWS Certified MLS-C01

AWS MLS-C01

Contact Me

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