Mohammad Haft-Javaherian

US0

Fractional AI Leader elevating Engineering, Products & Platforms ✦ Harness emerging tech and novel methods to improve access to industry-leading advancements. AI, ML, Computer vision, Software Engineering, NLP, LLM.

AI leader with a PhD in biomedical engineering who has built and led machine learning teams developing FDA-approved medical AI for clinical trials and GI endoscopy. Now runs a boutique consulting firm applying computer vision and LLMs in medical device and healthcare.

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Experience

Managing Member

Haft Advisors

Apr 2026 — Present · Irvine, California, United States

Boutique consulting firm applying computer vision and LLMs in medical device and healthcare. Provides fractional head of tech services to early-stage startups and corporations, focusing on integrating AI into workflows with an emphasis on business outcomes. Develops strategic plans to improve operational efficiency and drive tech adoption.

Head of Machine Learning | Director of Machine Learning

Iterative Health (Formerly Iterative Scopes)

Apr 2021 — Mar 2026 · Cambridge, Massachusetts, United States

Oversaw the machine learning department with up to four manager reports and 28 professionals, promoted from Manager of Machine Learning to Head of ML reporting to the CEO. Led multiple generations of FDA-approved AI colorectal cancer screening devices, developed a GI foundation model, and owned pharma and Eli Lilly contracts. Established peer review and SDLC practices, cut deployment time from two months to two weeks, and built hiring and career ladder programs.

Researcher Fellow

Harvard Medical School and Massachusetts General Hospital

May 2019 — Apr 2021 · Cambridge, Massachusetts, United States

Developed a novel machine learning method for cardiovascular OCT images using CNNs, a Wasserstein-based critic model, and a novel topological loss. Reduced error 77% (30 to 7 microns) and developed a CNN process for intracoronary PS-OCT 3D images.

Graduate Research & Teaching Assistant

Cornell University & Other Institutes

Jan 2006 — May 2019 · Ithaca, NY

Graduate research and teaching assistant across Cornell University and other institutes during doctoral work in biomedical engineering.

Education

Massachusetts Institute of Technology

Postdoctoral Fellowship in Computer Science

May 2019 — Jun 2021

Postdoctoral Research Fellow at Harvard Medical School and Massachusetts Institute of Technology

Cornell University

Doctor of Philosophy (PhD) in Biomedical Engineering

Sep 2013 — Jun 2019

Ph.D. in Biomedical Engineering, minor in Electrical & Computer Engineering (2013 to 2019) M.S. in Biomedical Engineering, minor in Electrical & Computer Engineering (2013 to 2017)

University of Tehran

Bachelor of Science (BS) in Civil Engineering

Sep 2005 — Jun 2009

Credentials

Course

Advanced Leaders Program

Eager Labs

Issued Jan 2023

Course

Management Training

LifeLabs Learning

Issued Jan 2023

License or certification

Connect for Developing Leaders

Eager Labs

Issued Aug 2022

Course

Colman Leadership Program

Cornell University

Issued Jan 2017

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Skills

Machine LearningDeep LearningComputer VisionConvolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Generative Adversarial Networks (GANs)Large Language Models (LLMs)PythonMatlabC++FortranPyTorchTensorFlowScikitOpenCVSQL

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