Mazen Temani

I help teams design and integrate AI features that actually work in real applications, especially when machine learning needs to be connected to a backend or a mobile/web product.

My background is in data science and applied machine learning, with hands-on experience across NLP, deep learning, and backend development. I’m particularly comfortable working on problems where data is imperfect, requirements evolve, and the AI solution must remain understandable and maintainable.

I bring value by bridging model development and application logic: structuring data pipelines, choosing appropriate models, evaluating results properly, and exposing AI functionality through clean APIs. I’m used to working with modern ML and NLP stacks (PyTorch, transformers, embeddings, vector search) and integrating them into production-oriented environments using Django or FastAPI.

Rather than “black-box” solutions, I focus on:

I typically contribute to:

Clients appreciate my seriousness, transparency, and problem-solving approach. I’m honest about feasibility, proactive in communication, and committed to delivering solutions that fit both technical and business constraints.

If you’re looking for someone who can translate AI ideas into working features, while keeping things simple and reliable, I’d be happy to collaborate.