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Radwan F. AI, Python and Fullstack

My name is Radwan F. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Web Scraping, Back-End Development, API Development, Automation, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Python developer for a TikTok web scraping project for AI Training, web scraping, RAG N8N AI chatbot Work as a Resume QA System, High-Speed YouTube web scraping for AI Training, python backend developer for Salla API Integration, etc.. I am based in Giza, Egypt. I've successfully completed 9 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Python and Fullstack

    3 years

  • Lovable AI

    2 Years

  • AI Development

    2 Years

  • Langchain

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

IBM Egypt

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Experience Highlights

Python developer for a TikTok web scraping project for AI Training

A high-performance data scraping solution for comprehensive comment and video data extraction from TikTok. Built with Python, Playwright, and asyncio for speed, this web crawler reliably handles dynamic content. It features intelligent incremental scraping to capture only new comments, ensuring data freshness and efficiency. The automated data pipeline delivers clean, structured data directly to BigQuery, ready for large-scale data mining and analysis.

web scraping

I developed a web scraper with and API interface hosted on a VPS (DigitalOcean), continuously collecting airline data every 30 seconds. To enable external access, I integrated a Flask API. Client software can send a GET request specifying the desired flight data, and the API will respond by providing the information directly fetched from the airline's website

RAG N8N AI chatbot Work as a Resume QA System

Workflow 1 (Document Embedder): Automates building a searchable knowledge base from Google Drive files. It downloads files, splits text, generates Gemini embeddings, and stores them in Pinecone for efficient retrieval. Workflow 2 (Resume QA System): A chat-based system that answers questions using the knowledge base. It receives user questions, generates Gemini embeddings for them, retrieves relevant info from Pinecone, and uses a Gemini Chat Model to formulate answers.

High-Speed YouTube web scraping for AI Training

web scraping form YouTube, A high-speed data scraping solution to extract all comments and video details from any public video or Short. By using direct internal API calls instead of browser automation, this data collector is remarkably fast and efficient. It intelligently avoids rescraping by focusing only on new comments, delivering clean data directly to your BigQuery warehouse via a fully automated data pipeline.

python backend developer for Salla API Integration

I designed and built a proof-of-concept API integration with the Salla e-commerce ecosystem using Python and Django. This involved close collaboration with client developers, and I delivered comprehensive documentation alongside the code.

Education

  • Cairo University

    Bachelor's degree in Computer science

    2018-01-01-2022-01-01

Languages

  • Arabic
  • English

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