Joma
Software Engineer
| Phone: | +65 89414036 |
| Email: | axuplus@gmail.com |
| Website: | joma.eu.org |
| GitHub: | github.com/nodfans |
| LinkedIn: | in/ma-xu |
Dedicated software developer with 4+ years of experience developing complex software solutions for private sector clients. Specialised in designing performant, user-friendly applications that streamline operations and boost productivity.
Strong background in database engineering, full-stack web development, and system architecture, with expertise in Java, Python, Linux, AI, and cloud infrastructure. Committed to delivering innovative, scalable applications that address real business challenges.
Key Skills
- Programming & Scripting
- Database Management
- CI/CD
- RESTful API
- Microservices
- Problem Solving
- Self-Motivation
- Analytical Thinking
- Verbal Communication
- Agile & Scrum
Working Experience
Queue Manager
Scale AI (May-2025 - Present)
- Oversaw contributor experience and retention by providing timely support, resolving issues, and organizing webinars, while fostering a collaborative community through facilitating and moderating discussions across SFT and RLHF projects.
- Served as a liaison between contributors, Single Threaded Owners (STOs), and project pipeline admins to streamline communication and ensure high-quality project alignment across initiatives for timely and effective client delivery.
LLM Data Trainer
Scale AI (Apr-2024 - May-2025)
- Reviewed coding capabilities across diverse programming languages for AI models, focusing on prompt generation, response evaluation, rubric creation, and correction of code snippets, with in-depth analysis of coding tasks.
- Assessed AI-generated responses for instruction following, groundedness, completeness, truthfulness, clarity, verbosity, sentence structure, grammatical accuracy, contextual appropriateness, Markdown rendering, and overall coherence.
- Conducted comparative analysis and scoring of AI-generated responses to assess their quality side by side, by providing detailed written justification to identify claims or factors in the responses that could negatively impact quality.
Backend Engineer
AnXiao Technology (May-2021 - Jun-2022)
- Assigned database tasks included identifying performance bottlenecks, optimizing complex SQL queries, and conducting SQL table index invalidation maintenance, resulting in a 21.5% reduction in response time across API calls.
- Integrated third-party APIs, utilized Docker to wrap 42 microservices as Docker containers, deployed them on local VMs for reliable execution, employed Spark and Hadoop for server log storage, and drafted deployment documentation.
- Contributed to multi-project requirements analysis, engaged in discussions with teammates on the design of 94 PostgreSQL tables, and involved in architecture and Java API development in accordance with design requirements.
Projects
GPT For PDFs | Python, React, OpenAI API, Faiss, Redis, MongoDB
- Implemented a website resembling ChatGPT for PDFs using the LLM framework Langchain, enabling text information capture, extraction, and user Q&A capabilities.
- Integrated Faiss (Facebook AI Similarity Search) to improve prompt response quality via relevant text embeddings and vector similarity scoring, enhancing PDF document analysis.
- Built UI with React & Tailwind; used MongoDB and Redis exclusively for saving conversation history, ensuring seamless interaction and intuitive UX.
UN IoT Solution | Python, Azure
- Simulated an IoT solution to collect global temperature data addressing climate change in alignment with UN concerns.
- Leveraged Azure IoT Hub to monitor 400+ temperature devices worldwide, ensuring connectivity, raising alerts, and storing large volumes of telemetry data.
- Built a Python service for anomaly detection, triggering alerts when temperature thresholds were exceeded.
Education
Bachelor of Science in Computing Science (First Class Honours), 2024
Coventry University, UK