Zeeshan Ali

I’m an independent AI and analytics engineer with a strong applied machine learning background, currently building an enterprise-grade analytics platform (EvoWerk) using FastAPI, Python, and modern ML tooling. My experience includes designing full-stack data systems, implementing workflow execution engines, working with embeddings, autoencoders, and representation learning, and building evaluation pipelines for real-world football analytics use cases using event-level data. I specialize in applied machine learning, data science project development, backend architecture for analytics systems, and research-oriented ML thinking (e.g., stability testing, clustering validation, compatibility modeling). I combine technical depth with strong domain expertise in football analytics and system design, making me well-suited to mentor university-level students and junior analysts on practical ML, portfolio building, and applied AI projects