Singapore Permanent Resident | NS ORD Completed

Hi, I'm Cai Ziyi

Software Engineer & AI / ML Developer

B.Sc. in Computer Science graduate from University of London (Machine Learning & AI), specializing in designing full-stack architectures, hybrid applications, and intelligent systems powered by predictive models.

Get in Touch View Projects
760128226@qq.com (+65) 96429580
1const developer = {
2 name: "Cai Ziyi",
3 focus: "AI & Full-Stack Development",
4 skills: [
5 "Python", "JavaScript", "React/Next.js",
6 "FastAPI/Flask", "Machine Learning"
7 ],
8 vibeCoder: true,
9 motto: "Democratize ML using conversational UI"
10};

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Technical Skills

A curated map of my core engineering, backend, frontend, and AI expertise.

Quick Filter:

Languages

Python
JavaScript (ES6+)
C++
C#
C
HTML5 / CSS3
Kotlin
Swift
SQL

Frameworks & Tools

Next.js / React
React Native
FastAPI / Flask
Capacitor
Nginx
AWS Lightsail
Systemd
SSL/TLS
RESTful APIs
Tailwind CSS
MySQL / PostgreSQL
Firebase

AI & Design

AI-Accelerated Development
Vibe Coding (Antigravity, Codex)
UI/UX Design
Predictive Modeling
Machine Learning Models

Methodologies

Full-Stack Architecture
Mobile-First Design
Hybrid App Deployment
UAT
Automated DB Migration & Backups

Featured Projects

A selection of platforms and frameworks engineered to solve complex tasks.

Sole Developer

Real-Time Hybrid Mobile & Web Services Platform

A private cross-platform web and mobile application for daily personal and relationship management, acting as an active production environment for testing cloud architecture and mobile wrappers.

Frontend & Mobile: Responsive UI via HTML5, Tailwind CSS, Lucide, packaged to Android APK using Capacitor.
DevOps: Deployed on AWS Lightsail using Nginx as a reverse proxy, DNS routing, and secured via SSL/TLS.
Backend: Python Flask RESTful API backend with JSON-based persistence and automated self-healing backups.
Flask Capacitor Tailwind CSS Nginx AWS Lightsail
Lead Developer

WhyFi - Predictive Financial Advisory Platform

A full-stack financial advisory framework designed as a final year university project, integrating a machine learning model backend with a modern conversational presentation layer.

Full-Stack Architecture: Integrated a FastAPI (Python) backend with a Next.js/React frontend.
AI & Data: Implemented institutional-grade analytics using ML models through a conversational web user interface.
Real-Time Analytics: Processed real-time market data streams to synthesize trading recommendations.
FastAPI Next.js React Machine Learning Predictive Modeling
Co-Developer

Smart Travel Itinerary Planner

A collaborative project that automates the generation of complex multi-destination tourist itineraries through intelligent sequencing and multi-agent AI cooperation.

Multi-Agent Coordination: Cooperatively engineered routing sequences using multi-agent logic.
UI & API Exchanges: Designed clean frontend layouts and solid API exchanges to optimize user itinerary navigation.
Python Multi-Agent System Route Sequencing RESTful APIs

Experience & Education

A timeline of my professional work and academic achievements.

Work Experience

2022 – 2024

IT Assistant

SAFTI Military Institute (Full-time National Service)

Provided IT operations and infrastructure assistance to maintain critical institute-wide system availability.

  • Diagnosed hardware, network, and software anomalies, optimizing local computing environments.
  • Managed system efficiency, resolving server and configuration issues.
  • Ensured high compliance with military security requirements and service level agreements (SLAs).
2021 – 2022

E-Commerce Web Developer & Data Assistant

PNH Resources Pte Ltd (Internship)

Engineered interactive e-commerce web solutions and optimized automated internal database pipelines.

  • Engineered and implemented an interactive E-commerce web demonstration to showcase business solutions.
  • Managed database records, product inventories, and optimized data pipelines using office scripts.
  • Reduced data entry workloads by automating CSV/Excel synchronization routines.

Education & Awards

Graduated

B.Sc. in Computer Science

SIM - University of London

Specialization: Machine Learning and Artificial Intelligence. Second Class Honours (Upper Division).

  • Acquired deep theoretical and practical knowledge in full-stack architecture, machine learning models, predictive modeling, and conversational framework integrations.
2019

Second Prize (1st Runner-Up)

SUSS Analytics and Visualization Challenge

Awarded second prize for designing intuitive data visualization dashboards and predictive analytical reports.

Get In Touch

Let's discuss how I can help bring machine learning and full-stack solutions to your projects.

Contact Information

Feel free to reach out directly via phone, WhatsApp, email, or explore my code repositories.

Phone & WhatsApp (+65) 96429580
Email 760128226@qq.com
GitHub Profiles github.com/ziyi531

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