Mohammed M.

I am a Data Scientist & AI Engineer with a background in building data-driven solutions and intelligent systems. My journey spans across roles as a Data Scientist Intern at Paysky, where I led a team to develop an AI-powered platform with customer segmentation and RAG assistants, and as an AI Trainer at Outlier, where I improved AI model performance in mathematics and coding.

In addition to internships, I have freelanced for clients across multiple countries, delivering projects such as recommendation systems, performance dashboards, and e-commerce backends. I am skilled in Python, R, SQL, TensorFlow, PyTorch, HuggingFace, LangChain, and Tableau, and have hands-on experience in data engineering pipelines, time-series forecasting, and machine learning applications.

I thrive at the intersection of data, AI, and software engineering, and I am passionate about turning complex data into meaningful insights and scalable AI solutions. Always eager to learn, collaborate, and contribute to innovative projects that make an impact.