About Me
Get to know me better
I'm Aung Khant Phyo, a Computing graduate (pending official graduation) from the University of Greenwich. I started in mechatronics but shifted to computer science after discovering the power of IT during the COVID-19 lockdown.
Since then, I've studied data analysis, programming and machine learning. I've worked as a data analyst and backend engineer. I'm especially enthusiastic about how large language models (LLMs) can contribute to global solutions.
Education
My academic background
London, United Kingdom
Bachelor of Science (Honours) in Computing
June 2024 – April 2025
Pasadena, California
Associate of Science in Computer Science
Dec 2022 – April 2024
Cumulative GPA: 3.42
Mandalay, Myanmar
Bachelor of Engineering in Mechanical Precision and Automation
Dec 2015 – March 2020
Completed four years of a six-year program (suspended due to covid-19)
University of the People: Recognized for achieving a CGPA between 3.00 and 3.49 for Term-5 of the 2023-2024 academic year.
Skills
Technologies I work with
Programming Languages
Frameworks & CLoud
Machine Learning & Deep Learning
Work Experience
My professional journey
Brillar Singapore | Remote, Internship
November 2024 - January 2025
Brillar primarily develops Generative AI applications, including AI agents for text, audio, video, and SQL tasks. I joined as one of three members of the internship team and later, I was welcomed for a full-time developer position. However, I chose to focus on my upcoming exams and academic responsibilities, so I decided not to continue in the role.
- Developed and maintained APIs using FastAPI for scalable AI-driven platforms.
- Transformed Jupyter notebooks into production-grade code, ensuring optimized performance for real-world applications.
- Collaborated with product-owner and ML researchers to productize AI features for innovative digital products.
- Implemented Generative AI concepts (e.g., RAG, Prompt Engineering) and integrated frameworks like Langchain, LangGraph and OpenAI for advanced functionalities (Text, Audio, VIdeo, and SQL Agent).
Magnify Myanmar | On-site, Contract
August 2023 – April 2024
This is a social listening company that analyzes and classifies the sentiment of social media posts. I successfully managed one client by automating parts of the workflow using Python. I managed the client independently without the need for a large team and also supported other teams when needed.
- Conducted data analysis with Python and PowerBI to derive insights from large datasets.
- Developed and maintained dashboards and visualizations to present key findings to stakeholders.
- Contributed to Brand Health analysis in the telecom industry, supporting strategic insights and metrics.
- Collaborated clients and NLP engineers for better analytical results and reports quality.
- Enhanced report automation processes, streamlining operations and improving efficiency.
- Prepared comprehensive reports with actionable recommendations to drive business decisions.
Projects
What I've built
Built a browser extension with a FastAPI backend that allows users to fact-check selected text or images directly from any webpage. The backend leverages Google Gemini, a large language model (LLM), for real-time claim verification, web search, and OCR-based image analysis. Includes multilingual support via Google Cloud Translate and is containerized with Docker for easy deployment.
As part of my final year project, I developed a text data collection platform designed for three user roles: Admin, Freelancer, and Data Quality Assurance Member. Each role has specific features and permissions tailored to their responsibilities. Due to the ongoing academic review, the source code and full documentation remain confidential. However, a demo video is available that highlights the platform's main features and shows how each user role interacts with the system.
Built a chatbot that helps users find information from their documents using text-to-vector conversion and Retrieval-Augmented Generation (RAG). Users can upload PDF or TXT files, which are processed and stored in a vector database, enabling fast and accurate responses to their queries.
Certifications & Courses
My continuous learning journey
DeepLearning.AI
September 2024
DeepLearning.AI
July 2024
Coursera
April 2023
freeCodeCamp.org
February 2023
Harvard University
January 2023
Contact Me
Let's get in touch
Get In Touch
Feel free to reach out if you're looking for a developer, have a question, or just want to connect.