Mohamed K.

I am Mohamed Khalid, a Computer Science graduate and Junior AI and Machine Learning Engineer. I focus on turning data into practical, measurable solutions through machine learning, data analytics, and Python-based AI workflows.

I have experience with Python, C++, Pandas, NumPy, Matplotlib, scikit-learn, PyTorch, Transformers, FastAPI, SQL, Power BI, Git, GitHub, and Jupyter Notebook. My work includes data cleaning, exploratory data analysis, model training, data visualization, AI workflow development, and technical documentation.

One of my key projects is VulnSneak, an AI-based code vulnerability detection system. I worked on preparing labeled vulnerability datasets, fine-tuning a transformer-based model, and developing an inference pipeline that analyzes uploaded code files and returns the vulnerability type, confidence score, and affected line ranges.

I also completed several professional programs, including NTI-Huawei Artificial Intelligence with a score of 91.5%, Huawei HCIA-AI V4.0, NVIDIA Getting Started with Deep Learning, ALX Data Analytics, ALX AI Career Essentials, ALX Professional Foundations, and ITI Artificial Intelligence training.

I communicate clearly, organize tasks effectively, and focus on delivering clean, useful, and understandable results for every client.