Ali Ghofrani is a Lead AI Developer with 8 years of applied ML experience, specializing in training and deploying state-of-the-art vision, speech, and NLP models using TensorFlow, PyTorch, and MXNet. He pairs deep research instincts—pursuing a PhD in Electrical and Electronics Engineering—with hands-on MLOps expertise to quantize, prune, and distill large models into production-ready microservices for server and client targets using TVM, TFLite, ONNX, OpenVINO, and CoreML. At Alpha Reality he built patented end-to-end systems for indoor navigation and multimodal face antispoofing, and trained a tiny face-recognition model on 3.5M Persian faces for national ID authentication. He has led ML teams and startups across computer vision, NLP, and sports-tech, shipping systems from graph-based language models and VQA to skeleton-based action similarity pipelines deployed on Azure. Comfortable across research, product and deployment, he brings rare full-stack ML delivery: from teacher-student distillation experiments to lightweight inference optimized for constrained devices. Based in Tehran, he blends academic rigor with pragmatic engineering and a clear focus on bringing large models into real-world, privacy-sensitive applications.
8 years of coding experience
6 years of employment as a software developer
MSc Telecommunication Systems, MSc Telecommunication Systems at Iran Broadcasting University
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Shahid Beheshti University
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
Contributions:2 PRs, 1 push in 1 day
pytorchpytorch-modeldescriptorcvpr-2019cvpr
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