Muhammad Falih Akbar

Web & AI Antusias · Computer Vision Enthusiast · Informatics Engineering Undergraduate

About Me

I am an Informatics Engineering undergraduate and freelance web developer focused on building responsive products with React, Next.js, and TypeScript. I care about clear user flows, maintainable component architecture, accessible interfaces, and practical API integration.

Alongside web development, I build computer vision experiments with Python, OpenCV, and YOLO. My goal is to connect solid product engineering with applied AI that solves concrete problems.

• Building web applications for clients and personal projects since 2024.
• Developing computer vision pipelines for detection, recognition, and real-time processing.
• Daily-driving Arch Linux and continuously improving my engineering workflow.
• Open to junior developer roles, internships, collaboration, and freelance work.

Featured Work

Indonesian License Plate Recognition End-to-end plate detection and recognition pipeline based on an academic baseline, extended with YOLO localization and an OpenCV contour fallback. Highlights: Otsu thresholding, character segmentation, KNN OCR, CLI workflows, camera input, and evaluation tooling. Stack: Python · OpenCV · YOLO · scikit-learn	FIXIN Responsive appliance repair application designed for web and Android delivery with a typed React codebase. Highlights: Client-side routing, reusable UI, responsive layouts, Android packaging, and a live deployment. Stack: TypeScript · React · Vite · Capacitor Live demo →
Personal Portfolio Recruiter-facing portfolio designed to communicate skills, experience, and selected work clearly across screen sizes. Highlights: Accessible interaction states, reusable sections, motion design, and a server-side contact route. Stack: Next.js · TypeScript · Tailwind CSS · Resend	Computer Vision Gesture Prototype Real-time experiment for understanding webcam processing, face landmarks, and landmark-driven interactions. Highlights: Live frame processing, facial analysis, hand landmark detection, and reaction classification. Stack: Python · OpenCV · MediaPipe

Tech Stack

Frontend and application development

AI, data, and engineering tools

Focus	What I Work With
Frontend	React, Next.js, TypeScript, JavaScript, Tailwind CSS
Backend and data	Node.js, Express, Python, PostgreSQL, MySQL, MongoDB
Computer vision	OpenCV, YOLO, MediaPipe, scikit-learn
Engineering	Git, Docker, REST APIs, Linux, responsive and accessible UI

GitHub Activity

Contribution Graph

Current Focus

Web Engineering   → Production-oriented React and Next.js applications
Backend           → API design, database integration, testing, and reliability
Computer Vision   → Reproducible detection and recognition pipelines
Career            → Junior roles, internships, collaboration, and freelance work

Contact

For work, collaboration, or project discussions:

• Email: falihakbar14@gmail.com
• LinkedIn: Muhammad Falih Akbar
• GitHub: @Sinholms

_{Building practical software at the intersection of web engineering and applied AI.}