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Résumé

The short version.

Always the latest version. Read it here, or take a copy with you.Updated October 21, 2026

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Mohamed Elsayed

AI Engineer
mohamedelsayed3487@gmail.com❦+201229437097
Egypt
LinkedIn❦GitHub❦moelsayed.com
Photo of Mohamed Elsayed

AI Engineer with 3+ years of experience building agentic AI, LLM and machine learning applications, deployed to production on the cloud. Represented Egypt at the African level of the Huawei ICT Competition and earned the Kaggle Expert title, ranking in the top 5% of users. Experienced in LangGraph, LangChain, RAG, tool calling and Python services with FastAPI, PostgreSQL and Docker.

Education

B.Sc. Computer Science
Sep 2021 – Jul 2025
Zagazig UniversitySharkia, Egypt
  • Relevant coursework: Algorithms and Data Structures, Database Systems, Operating Systems, Object-Oriented Programming, Networking Fundamentals, Data Modelling, Problem-solving.
  • Final Grade: 2.2

Work Experience

AI Engineer, Part-Time
Oct 2024 – Dec 2025
MessengerCoRemote, Malaysia
  • Led the development of a recommendation system to enhance user engagement and content personalization.
  • Collaborated with cross-functional teams to integrate machine learning models into the platform.
  • Optimized algorithms for scalability and performance, ensuring real-time recommendation delivery.
  • Researched and implemented state-of-the-art AI techniques to improve recommendation accuracy.
AI Engineer, Freelance
Jan 2023 – Present
Self-Employed (Upwork & Khamsat)
  • Completed numerous AI and machine learning projects for clients across various industries.
  • Developed custom AI solutions, including predictive models, data analysis, and automation systems.
  • Built and fine-tuned machine learning algorithms to solve real-world problems, ensuring high client satisfaction.
  • Managed client communications, project timelines, and delivery of high-quality AI-driven applications.

Open-Source Contributions

FullDots link | Local-first, self-hosted AI coworkers with MCP tools (open source, MIT); contributor, 2 merged pull requests
Oct 2026
Tools used: TypeScript, React, Docker, SQLite
  • Built a guided Docker setup for agent computers: a setup engine that runs fixed, per-platform commands without a shell and only after the owner approves them, with a setup panel and approval-gated agent tools; verified on Windows 11 (PR #38).
  • Added file storage to Spaces: a viewer for CSV, Markdown, JSON, images, PDF and sandboxed HTML, agent tools to save and read files, and chat cards that open results beside the conversation; hardened with server-side type detection and a strict CSP (PR #42, 50 files).

Projects

GigPing link | Freelance job alerts (gigping.molabx.com)
Tools used: Stripe, Jobs API
  • Built an email job-alert service for freelancers that monitors Mostaql, Nafezly, Kafiil, Ureed, Freelancer and Upwork and emails the listings that match saved skills, keywords and budget.
  • Collects jobs every few minutes, removes duplicates, and sends a daily digest or instant alerts on the paid plan, with a full Arabic interface.
  • Offers a free and a Pro subscription with Stripe payments, plus a Jobs API (delayed on the free tier, real-time stream on Pro).
CvPal link | Open-source Python package for computer vision (cvpal.dev)
Tools used: Python, OpenCV, NumPy, Pillow, PyPI
  • Created and maintain a Python package that simplifies image processing, dataset handling and synthetic data generation for computer vision engineers.
  • Designed a chainable image-processing pipeline and published it to PyPI as open source.

Activities & Achievements

  • Participated in the Huawei ICT Competition 2022-2023; ranked among the top 24 in Egypt in the Cloud track.
  • Represented Egypt in Africa, competing with over 150,000 students from over 2,000 universities and colleges across 85 countries and regions.
  • Kaggle Expert in data science, ranking among the top 5% of users.
  • Run a YouTube channel sharing problem-solving videos, solving LeetCode problems.
  • Huawei Ambassador at Zagazig University.

Technical Skills & Core Competencies

  • Programming: Python, C/C++, SQL, JavaScript, HTML5, CSS, Bootstrap, Linux, Git, FastAPI, REST APIs, PostgreSQL
  • AI & Machine Learning: Agentic AI, LLMs, RAG, ML, Deep Learning, TensorFlow, Keras, Scikit-Learn, PyTorch, Computer Vision, pandas, NumPy, Matplotlib
  • LLM Engineering: Tool Calling, LangGraph, LangChain, Prompt Engineering, Model Evaluation
  • Cloud & DevOps: Docker, GCP, CI/CD, Linux (Ubuntu, CentOS), Git, GitHub, Postman
  • Scraping: BeautifulSoup, Selenium, requests

Languages

  • Arabic: Native; English: Full professional proficiency – C1; German: Intermediate – A2, pursuing B1