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Sinholms/README.md

Muhammad Falih Akbar

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

Typing introduction

LinkedIn Email Portfolio Profile views

Based in Indonesia Open to opportunities

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

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

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 →

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

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

Frontend and application development technologies

AI, data, and engineering tools

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

GitHub contribution snake animation

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:

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

Pinned Loading

  1. setup-gateway setup-gateway Public

    Konfigurator gateway OpenAI-compatible untuk Claude Code, OpenCode, dan Codex CLI. Zero-dependency, interaktif + CI, backup atomik + restore, config preservation, selftest built-in.

    JavaScript 627