Available to hire
Hi, I’m Mohammed Altahir, a front-end developer specializing in React.js, TypeScript, and Tailwind CSS. I enjoy turning complex ideas into fast, accessible, user-centric web apps, and I have a proven track record delivering high-performance experiences on remote agile teams.
I thrive in remote, agile environments, value clean, maintainable code, and love collaborating on design systems and automated workflows to boost delivery speed and quality.
Skills
Language
Arabic
Fluent
English
Advanced
Work Experience
Web & Front-End Developer at Khamsat Freelance Platform
January 1, 2022 - PresentBuilt and deployed modern web applications focusing on performance optimization and state management using React and Tailwind CSS. Led development of a Social Media Automation App (full-stack) using Flask and MDBootstrap; implemented custom UI components that increased delivery speed and user engagement. Implemented adaptive access control interfaces reducing admin task hours by 60% through streamlined UX and rule-based logic. Collaborated in remote sprints, code reviews, and technical documentation for freelance clients, adhering to strict version control policies. Developed data visualization and processing tools to transform complex PDF/Image data into structured web views, reducing processing time from hours to minutes.
Software Automation Developer (Python/Flutter) at Freelance
January 1, 2022 - PresentCross-platform development using Flutter and OCR tech to automate data collection, improving user efficiency by 90%. Built a desktop GUI (Tkinter) with Google Sheets API integration to track performance, reducing manual analysis time by 85%. Engineered a Python-to-WordPress pipeline via REST API to sync Telegram data with web blogs, ensuring 100% data consistency.
Education
B.A. in Information Technology at University of Khartoum
January 11, 2030 - January 1, 2026Qualifications
Industry Experience
Software & Internet, Professional Services
- The user uploads mp3 and SRT files, then the artificial intelligence analyzes the SRT to extract keywords
The AI then searches for videos on the pexels platform using keywords - Search results are displayed to the user so that he can choose the appropriate videos (10 videos for each keyword)
- Then the AI uses ffmpeg to merge the videos first and then the mp3 file
- The final result is displayed to the user and he can download the video, mp3 and SRT files
- Python / Streamlit/FastAPI
- FFmpeg / Pexels API / Ollama
Web application for generating videos with AI
How it works:
Techniques used:
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