Artificial Intelligence & Software Engineer | Computer Vision Researcher
I am an Artificial Intelligence & Software Engineer specializing in deep learning, computer vision, and distributed systems. My research focuses on edge AI, hybrid vision pipelines, and performance optimization for scientific and real-world applications. I also enjoy designing compilers and tools for programming languages and automating web workflows.
- Languages: Python, C/C++, C#, Java, Jupyter Notebook, Rust, Bash, Javascript/Typescript
- Libraries & Frameworks: FastAPI, Flask, ASP.NET, Spring Boot, React, Node.js
- AI & Machine Learning: PyTorch, Transformers, Knowledge Distillation, Computer Vision, OpenCV, YOLOv8
- Data Science: Streamlit, Data Mining, Hierarchical/KMeans Clustering, Data Analysis
- Web Automation: Selenium, NUnit, Page Object Model, QA Testing
- Parallel & Distributed Computing: MPI, mpi4py, CUDA (CuPy), Java Concurrency, OpenMP
- DevOps & Tools: Docker, Git, GitHub Actions, VS Code, PyCharm, IntelliJ IDEA, Linux, CI/CD
- Visualization: D3.js, Git Data Analytics, Three.js, Streamlit
A lightweight deep learning model for monocular depth estimation using knowledge distillation, optimized for edge devices.
- Topics: PyTorch, knowledge distillation, vision models
- Stars: 18
Hybrid computer vision pipeline for transforming document images into structured PDFs with deep learning and geometric processing.
- Topics: Python, OpenCV, Streamlit, YOLOv8
Compiler for a simplified Pascal language implemented in C++, supporting semantic analysis and scope management.
- Topics: Flex, Bison, C++, compiler construction, symbol table, visitor pattern
Performance benchmarking for matrix multiplication using CuPy, comparing CPU baselines, library calls, and custom CUDA kernels.
- Topics: CUDA, Python, parallel processing
- Email: alkhateebmayas997@gmail.com
- LinkedIn: Mayas Alkhateeb
- Telegram: @Mayas_A
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