Marco Zuliani

I love to apply my technical knowledge, creative abilities, and leadership skills to achieve scientific and technological excellence with a tangible social impact.
I have a proven track record of delivering innovative ML-powered technologies on mobile platforms that bring surprise and delight to hundreds of millions of users.

Vision without execution is hallucination - Thomas Edison (maybe?)

Job Experience

Apple

Senior Director, System Intelligence and Machine Learning - October 2022 → Present
Director, System Intelligence and Machine Learning - October 2019 → October 2022
Computer Vision Research Manager - July 2013 → October 2019
Algorithm Engineer - May 2011 → Jun 2013
Patents

Santa Barbara City College

Adjunct Professor (Discrete Math) - January 2011 → May 2011

Mayachitra, Inc.

Research Staff Member - October 2006 → May 2011

Internships

Mitsubishi Electric ITE-VIL, FriulROBOT S.r.l.

Education

University of California, Santa Barbara

Ph.D. in Electrical Engineering with emphasis in computer vision - October 2006
Thesis (ancient artifact): Computational Methods for Automatic Image Registration
Publications

University of Padova, Italy

Laurea in Computer Engineering - June 2001
Thesis (archaeological artifact): A Vision Based System to Recover the Trajectory of a Human Head

Skills

Leadership

Experienced in building highly effective, lean, and impactful organizations that utilize computer vision, natural language processing, and machine learning to create magical user experiences. Proven track record in imagining and developing technologies that ship on hundreds of millions of devices while fully respecting user privacy. Focused on improving fairness and reducing bias.

Technology Domains

Computer vision with emphasis on people and scene analysis. Generative technologies. Text recognition and natural language processing. Image registration, geo–registration, image/video stabilization, panorama creation. Optimization and robust estimation for vision. Deep learning. Tools and infrastructure for ML, fast inference on dedicated HW for embedded platforms. Data collection, annotation, robustness analysis. Bridging the gap between user experience and core technologies.

Software

C, Objective C, C++, Python, Matlab, shell scripting. Software development on mobile platforms. Debugging code. Apple frameworks. macOS, iOS and some Linux. Currently in Vim mood.

RANSAC

RANSAC Toolbox, RANSAC for Dummies

Misc