04/26/2026 updated

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Backend Developer & Full-Stack Engineer | Python, FastAPI, Flask, React

Kuala-Lumpur, Malaysia
Only remote
Bachelor of Engineering in Software Engineering (in progress), Xiamen University Malaysia
Kuala-Lumpur, Malaysia
Only remote
Bachelor of Engineering in Software Engineering (in progress), Xiamen University Malaysia

Profile attachments

CV_KM.docx.pdf

Java (Programming Language)JavaScriptC++ (Programming Language)Python (Programming Language)Node.jsReact.jsFlaskBackendGitFastAPIFront End Software Development
Backend Development with Python & FastAPI
Extensive experience building production-grade RESTful APIs using FastAPI and Flask, including auth systems with JWT, OAuth2, and RBAC, as well as payment processing integrations scaled to 1,000+ users.

Database Design & Management
Proficiency in PostgreSQL (including pgvector for semantic search), MySQL, SQLite, Firebase Firestore, and SQLAlchemy ORM, with a focus on optimized schema design and targeted indexing for performance.

CI/CD & DevOps Practices
Hands-on experience engineering end-to-end CI/CD pipelines using GitHub Actions and Render, covering automated build, test, and deployment stages, as well as zero-downtime deploys and automated rollback.

Machine Learning & Data Science
Implementation of linear regression and gradient descent from scratch in Python using NumPy, Matplotlib, and Scikit-learn, including visualization of training loss curves and model diagnostics.

Frontend Development
Experience with React and Bootstrap for building responsive web designs across desktop, tablet, and mobile, including real-time dashboard UIs with optimistic rendering.

Testing & Quality Assurance
Application of integration testing, regression testing, unit testing with unittest, and test automation to establish coverage baselines and reduce pre-release bugs by up to 50%.

AI-Enabled Development & NLP
Integration of multilingual NLP, vector embeddings, semantic search, and API integrations into modular AI assistants, supporting data-driven recommendations and personalized results.

Infrastructure & Cloud Tools
Familiarity with Docker, Git, Linux, Microsoft Power BI, and cloud deployment platforms, supporting scalable and maintainable application infrastructure.

Software Engineering Practices
Application of Agile Delivery, Software Development Lifecycle principles, Technical Documentation, System Design, and Object-Oriented Programming in collaborative team environments.


Project history

MSmeAI - Business Optimizer Developer

Gemini Hackathon with Google DeepMind
Top 10 of 50+ teams. Delivered real-time business intelligence dashboards with sub-1-second data update latency using React and Firebase Firestore. Cut release cycle by ~30% via end-to-end CI/CD pipelines. Integrated multilingual NLP with live weather APIs into a modular AI assistant for SME recommendations across 3+ languages.

Developer - AI Recommendation Engine API

Open Source
Built an open-source semantic recommendation engine using vector embeddings and PostgreSQL pgvector similarity search, supporting personalized results across 1,000+ item catalogs. Designed a modular RESTful API with FastAPI and ranking/filtering logic that reduced average query response time via indexed vector search.

Developer - Machine Learning Price Prediction System

Personal Project
Implemented linear regression and gradient descent from scratch in Python, matching Scikit-learn benchmarks within delta R2 < 0.02% and delta MSE < 0.1%. Visualized training loss curves and model behavior with Matplotlib for diagnostic plots used to tune learning rate and convergence criteria.

Co-founder & Backend Developer

PrepsAI
Scaled platform to 1,000+ registered users in 90 days by designing and shipping production-grade auth, authorization, and payment processing systems in FastAPI. Reduced authentication-related incidents by ~40% with layered security (JWT, RBAC, OAuth2). Cut critical pre-release bugs by ~50% through systematic manual and automated integration testing. Accelerated MVP delivery by ~20% by leading feature prioritization and roadmap planning.

Developer - Full-Stack Microblog Platform

Personal Project
Reduced query latency by ~20% through optimized relational schema design in SQLite with targeted indexing. Achieved ~40% reduction in regression bugs by authoring unit and integration test suites with unittest. Shipped with CI/CD on Render, enabling zero-downtime deploys and automated rollback on failed builds. Stack: Python, Flask, SQLite, unittest, Render.

Full-stack Developer - Tennis Club Website

Xiamen University Malaysia
Shipped a production web platform with 5 core features (event scheduling, registration, news feed, user profiles, notifications) achieving ~99% uptime post-launch. Designed authentication supporting 50 concurrent users and built responsive layouts across desktop, tablet, and mobile using Python, Flask, JavaScript, Bootstrap, and Render CI/CD.

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