Mohammad Haft

Fractional Head of AI consultancy offering C-suite strategy partnership, 4-week enterprise AI roadmaps, and 8-week proof-of-concept builds. Delivered $1.4M in bottom-line impact for an 8-figure US manufacturer with a quality-assurance prediction model. Grew enrollment 18.5% and revenue 22% as fractional Chief Strategy Officer for an education institute. Built a multi-agent legal AI system with human review for a pre-seed legal-tech startup and a health-robotics prototype from control software through voice AI.

Led a team of researchers and engineers building ML technology to optimize clinical trials. Built an end-to-end production pipeline covering training, inference, orchestration, model registry, experiment tracking, CI/CD, and MLOps for cloud and edge products, doubling development speed.

Developed a deep learning method for cardiovascular OCT images using CNNs with a Wasserstein-based critic and a novel topological loss, cutting error 77% (30 to 7 microns). Built a CNN pipeline for 3D intracoronary PS-OCT images and developed image denoising models using statistical and generative methods.

I studied brain vasculature using computational fluid dynamics and mechanics. ✦ Decreased analysis time from 20 hours to just a few minutes by developing ML models (CNN and RNN); highly cited and adopted by several labs worldwide. ✦ Attracted 57K+ users with automated crowdsourcing pipelines developed for Alzheimer's research.