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Klyrhon Miko R. Aurel

Software Engineer & AI Programmer

Skills

Frontend: React, Next.js, TypeScript, HTML, CSS, Tailwind CSS, GSAP, Framer Motion, Lenis, Three.js

Backend: Node.js, Express, FastAPI, Python

DevOps & Tools: Docker, Git

Mobile: Flutter, Dart, Riverpod

Databases: Supabase, PostgreSQL, SQLite

Education & Certifications

BS in Information Technology | Pamantasan ng Lungsod ng Pasig | Expected 2027

Harvard CS50: Intro to Computer Science & Artificial Intelligence | 2026

FreeCodeCamp: Responsive Web Design & Python Developer Certifications | 2026

Cisco Networking Academy: Prompt Like an Engineer | 2026

Anthropic: Code 101, Code in Action, Frameworks, Capabilities, Agent Skills, Subagents | 2026

Experience

Freelance

| Full Stack Developer | 2025 - Present
  • Built modular, responsive web apps for clients using React, Next.js, and Tailwind CSS.
  • Architected robust backends (Node.js, FastAPI) and optimized load times via code-splitting.

Projects

Pars.

| Live URL: pars.klyrhon.me
  • Built a modern ATS-friendly resume builder utilizing Next.js and TypeScript, integrating a live preview editor that dynamically renders user data using React PDF for high-fidelity document generation.
  • Engineered an AI-powered bullet point optimization engine leveraging Groq to provide instant, context-aware suggestions that enhance resume impact and readability.
  • Implemented secure authentication and real-time data persistence using Supabase, coupled with a highly responsive, minimalist user interface styled with Tailwind CSS.

Koin

| Github: github.com/KlyrhonMiko/koin | Live URL: koin.klyrhon.me
  • Constructed an offline-first personal finance mobile application using Flutter and Dart, managing complex app state with Riverpod and ensuring reliable local data storage via SQLite.
  • Integrated Natural Language Processing (NLP) and voice recognition to allow users to quickly and intuitively log expenses hands-free.
  • Designed a modern, responsive UI utilizing Flutter Material for interactive data visualizations to give users clear, actionable insights into their financial habits.
  • Formulated an interactive algorithm visualization platform and code execution sandbox using Next.js and TypeScript to make complex data structures intuitive.
  • Structured a client-side execution engine leveraging WebAssembly (Pyodide) in a background Web Worker to capture real-time stack frames and variable states without blocking the UI.
  • Integrated step-by-step visual debugging and dynamic data structure rendering using D3.js and Framer Motion with granular execution controls.