Thet Naung Soe

$ cat about.md

Software engineer with hands-on, end-to-end experience building and maintaining business-critical systems in Python, TypeScript, JavaScript and Go. I work the full lifecycle, requirements, design, development, testing, deployment and production support, and I've spent a lot of that time in the unglamorous part: tracing data inconsistencies, API failures and workflow defects back to their root cause and designing solutions that don't break the same way twice.

Comfortable on Google Cloud with Docker and CI/CD, and currently building on that with AWS and event-driven microservices.

Currently building at ALO Group · London, UK

Education

BSc (Hons) Computing with Artificial Intelligence Technology

Northumbria University, London, UK

Data Structures, Algorithms, OOP, Databases, Computer Systems, Software Engineering, Web Development, AI & Machine Learning

Skills

Languages
Python, TypeScript, JavaScript, Go, SQL, HTML, CSS
Frameworks & AI/ML
Node.js, React.js, TensorFlow, Keras, scikit-learn
Cloud & DevOps
Google Cloud, Docker, CI/CD, Containerisation
Architecture & Security
API Design, Resilient Error Handling, Data Validation, OAuth 2.0
Databases
PostgreSQL, MySQL
Practice
Git, Code Review, Unit & Integration Testing, Agile Delivery

$ git log --experience

  1. Software Developer

    Nov 2024 — Present

    ALO Group / London, UK

    • Designed API-driven automation that synchronises data across 7+ internal platforms, with validation and resilient error handling to keep it consistent end to end.
    • Built and maintained 5+ internal applications and dashboards, pairing React and Node.js with Python-based data processing.
    • Traced and resolved data inconsistencies, API failures and workflow defects across interconnected systems by following requests end-to-end.
    • Replaced a manual sales-reporting process with a self-service, automated pipeline for a subsidiary business.
    • Built AI-powered internal tools that automated customer-facing operational tasks and cut processing time.

  2. Intern Software Engineer

    Jan 2023 — Jul 2023

    Ooredoo Myanmar / Yangon, Myanmar

    • Implemented and tested business logic on a production backend supporting millions of prepaid users.
    • Built and validated backend workflows processing eligible transactions at telecommunications scale.
    • Investigated defects and traced application behaviour across an existing production codebase alongside senior engineers.
    • Wrote unit and integration tests and worked Git-based workflows inside an Agile team.

$ ls ./projects

Final year project · Jun 2024 — Feb 2025

Mood-Based Spotify Recommendation System

View on GitHub

An end-to-end recommendation system that reads a listener's Spotify history, classifies mood from a CNN trained on audio features, and generates a personalised playlist from it.

76.89%

classification accuracy

4

moods classified

CNN

model architecture

01

Authenticate

Spotify OAuth securely retrieves a user's listening data via the Web API.

02

Classify

A CNN built with TensorFlow, Keras and scikit-learn scores mood from audio features.

03

Recommend

Preferences are analysed and a personalised, mood-matched playlist is generated.

Python · TensorFlow · Keras · scikit-learn · Spotify Web API · OAuth 2.0

$ connect --to=thet

Let's build something reliable.

Open to a conversation about a role, a hard bug, or a system that keeps falling over. I usually reply within a day.

© 2026 Thet Naung Soe. Built with Next.js & GSAP.

London, UK