Michelle Loh

Hi, my name is

Michelle Loh.

I build things with AI and Web Dev.

Life is a never ending journey with infinite possibilities.
I love explore different areas, currently focusing on Natural Language Processing, Blockchain and Anti-Money Laundering.
My goal by 2026 is to build a Anti-Money Laundering open-source project.

Contact me

01. About Me

Hello! I am Michelle 🌟 I was fascinated when I try my first programming during my early-20s with C++. After that, I have been involving myself in different areas of tech including Natural Language Processing, Web Development, Blockchain and so on.

Fast-forward to today, I am building my own portfolio with a few side projects. I am looking to work in FinTech area, it could be AI Engineer, Blockchain Devloper, Quantitative Researcher, . Please contact me if you find me suitable for related position.

Here are a few technologies I've been working with recently:

Django, React, NextJS
ZenML, MLFlow, Tensorflow
Nginx, Gunicorn
PostgresSQL, SQLite, Snowflake
Tox, Pytest, Grafana, Prometheus, Locust
Microsoft Azure, Gitlab
Solidity
Docker, Kubernetes

02. Where I've Worked

CS Guru @ Telebort

Nov 2023 - Feb 2024

Conducted coding classes in HTML, CSS, JavaScript, Python, and Svelte for 260+ youth aged 8 to 16.
Developed and implemented curriculum to enhance students' problem-solving and web development skills in a collaborative and engaging learning environment.

HTML
CSS
JavaScript
Python
Svelte
Data Analysis
Web Development
Educating

Innovation Apprentice @ KPMG Malaysia

March 2023 - Sept 2023

Led the transformation of 1 sales forecasting dashboard from Streamlit into a user-authenticated Django web application within 2 months, involving project timeline planning, system architecture planning, entity relationship diagram planning, user interface and API communication with team leader.
Conducted 3 business use cases analysis for implementing machine learning and blockchain technology in Malaysian Fast-Moving Consumer Goods (FMCG), marketing, and talent management sectors
Explored the viability of incorporating blockchain technology into the food supply chain

Project Management
System Architecture
Entity Relationship Diagram
Machine Learning
Blockchain
Web Development
Business Analysis
VM Ware
WSL2
Ethereum
Solidity
Hyperledger Fabric
Django
React
MaterialUI
PostgresSQL
Postman
Figma

Elite Intern @ Intel

Aug 2021 - Oct 2022

Work under Validation Engineering Test Automation Team
Implement tox in automation testing with basic knowledge on Continuous Integration (CI)
Explore and sharing findouts on several topics including python context-manager, overriding built-in functions, tox and tkinter library during daily scrum
Attend training by Synopsys on Verilog, verification using VCS, Systemverilog, Design Compiler, DC Low Power & Formality, Design for Test (DFT), Static Timing Analysis with PrimeTime and IC Compiler II

Python
Pytest
Tox
Microsoft Azure
Powershell Scripting
Continuous Integration
Scrum

03. Some Things I've Built

Featured Project

Financial Sentiment Analysis Pipeline

Implemented machine learning training pipelines and deployment pipelines

ZenML
MLFlow

Featured Project

Olympics Paris 2024 Dashboard

Exposed 5 APIs endpoints for visualization of Olympics Paris 2024 data

Django
React
Gitlab
Docker
Nginx
Gunicorn
Grafana
Prometheus
Locust
Snowflake

Featured Project

Automated Talent Pool Filtration

Developed a web application using Natural Language Processing and social media analysis to match keywords with similar semantic meaning to enhance candidates automation filtering process

Django
MySQL
Tailwind
Figma
Word2Vec
Selenium
Natural Language Processing
Sentiment Analysis

Featured Project

Notion Library Search Engine

I created my own library using Notion and was planning to make a book recommendation system for myself. However, I do not have data from other users to do the recommendation system, so I have stopped my project until search engine using TFID.

Python
Numpy
Pandas
Notion
TFID

Featured Project

Fetal Cardiotocography Prediction Model

Facilitate fetal health status medical diagnosis by comparing prediction model using K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Random Forest and Neural Network.