The Journey
Mar 2020 - Dec 2021
Began learning programming and machine learning while working full-time
Took online courses on Coursera and followed course materials of UC Berkeley's computer science undergraduate units CS61A 
, CS61B & CS61C .
, CS61B & CS61C .Jan 2022 - Mar 2022
Landed my first software engineering job at Risksis Technology
Hong Kong
Full-time
Implemented the web UIs of analytics dashboards using HTML
, CSS
, JavaScript
and Vue
.
, CSS, JavaScript and Vue.Mar 2022 - Present
Started my employment at Mobinology
Hong Kong & Bath, England
Full-time & Part-time
- Design and build the web UIs and RESTful services with React
, Node.js
and Python
for an enterprise-facing chatbot platform. - Build dashboard with TypeScript
, React, HTML, CSS, Material UI
, Node.js, and AWS OpenSearch
to show analytical insights on conversational data. - Develop complex agentic Retrieval-augmented generation applications using Python, Flask
, and Large Language Models
to enhance chatbot's conversational capabilities. - Implement Interactive Voice Response system with AWS Lambda
, DynamoDB
, and NestJS
. - Build docker
images and deployed docker containers to AWS EC2
to streamline deployment processes. - Develop internal developer tools with Next.js
and TypeScript. - Participate in sprint meetings and peer code reviews. Execute SOLID and OOP principles.
- Part-time from Oct 2022 to Sep 2023 (20 hours / week)
Oct 2022 - Sep 2023
MSc Computer Science at University of Bath
Bath, England
Full-time
Graduated with distinction.
Projects
Here are the projects I have worked on. More are on the way!
You Miss 100% Of The Shots You Don't Take.
- Wayne Gretzky
- Michael Scott
Skills
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Experience in Node, TypeScript and Python. Knowledge in Go. Database: AWS DynamoDB, AWS OpenSearch, MongoDB and SQLite. Familiar with OOP and SOLID principles.
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Experience in React (class and functional components), Next.js (app router), HTML5, CSS3, CSS Modules, Tailwind CSS and MUI.
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Experience in Linux, Docker, Git, Jira and Agile practices.
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Experience in integrating with Large Language Models (LLMs), prompt engineering and implementing retrieval-augmented generation (RAG) chatbot solution with Python.