Machine Learning Digital Imaging

Dan Trezise

https://www.linkedin.com/in/dantrezise/ 818-***-**** ***@**********.***

KEY QUALIFICATIONS

• Highly experienced and innovative AI/ML engineer with over 25 years in digital imaging, including computer vision and GenAI

• Proven ability to develop models that enhance legacy technologies and streamline workflows.

• Expertise in applying machine learning algorithms, deep learning techniques (NLPs, RNNs, CNNs), and data analysis tools (Python, Pandas, Matplotlib, Plotly, Seaborn, Scikit-Learn) to real- world problems

• Proficient in building and training models using TensorFlow and Keras

• Skilled in developing AI tools to automate processes, leading to significant improvements in efficiency and productivity, and streamlining workflows

• Deep experience with VR and motion capture

• A strong background in computer systems including Unix, Linux, Windows, and Mac

• Adept at developing and integrating bespoke pipelines with other software to increase productivity

• Proven leadership and team management capabilities within complex digital imaging projects EXPERIENCE

Crop Circle Studios

AI Tools Developer & Digital Image Supervisor August 2024 – Present

• Developed AI tools that automated pipeline processes, reducing task completion time by 50%, enhancing productivity for artists, enabling the studio to meet the client's tight deadline.

• Streamlined database processes that improve workflow efficiency, communication and collaboration by 60% on complex shared tasks.

WetaFX Sony Digital Domain Cinesite Rhythm & Hues ESC CCS Digital Imaging Expert 1997 – Present

Senior Artist & Supervisor

• With creative and “out-of-the-box” problem-solving, excellent team collaboration and communication, I have met every challenge with excellence and timeliness on over 100 films and TV series.

• I have managed many teams and entire shows and satisfied client expectations while maintaining a great work-life balance for the team.

Developer & Innovator

• Engineered proprietary imaging tools that consistently outperform the industry standards with faster and better-quality results.

• Developed bespoke pipelines and efficacy tools for integration with other software and databases to increase productivity.

Houston Christian University

Systems Administrator 2016 - 2022

• Designed, built and administered advanced computer labs, thesis project suites, VR suites and a motion capture studio to support industry-leading software. Outsource Visual Effects Studio

Founder, Systems Architect 2005 - 2009

• Founder of studio. Produced award-winning visuals on multiple film projects. Designed and built the systems architecture for the studio and managed systems operations during productions. Autdesk

Regional Field Systems Engineer 1998 - 2001

• Installed, administered, maintained, and demonstrated advanced SGI computer systems and Autodesk software to ensure optimal performance for clients. Eastman Kodak Company

Cineon Tech Support Engineer 1996 - 1998

• Conducted in-depth analysis to identify root causes of technical issues to ensure quick resolution and seamless operation of software and hardware systems. SPECIALIZED EXPERTISE

Cinematography Keying Motion Capture Editing Nuke After Effects Unreal Engine UE Blueprints Game AI Virtual Reality Maya NOTABLE VFX PROJECTS 1997 - 2024

• Spider-Man: Far from Home

• Star Trek into Darkness

• Matrix Revolutions

• Moon Knight

• Game of Thrones

EDUCATION

UC Berkeley Engineering & Haas Business

Professional Certificate in Machine Learning & Artificial Intelligence Jan 2025 Course Overview

• This 6-month course was a deep dive into Python, data analytics, machine learning and artificial intelligence, exploring the techniques and algorithms used to build, test and evaluate ML models.

• Data Analysis and Visualization in Python using a variety of tools from Pandas, Matplotlib, Plotly, Seaborn, and Scikit-Learn.

• Working with Data: Principal Component Analysis, Feature Engineering, Polynomial Validation, Feature Permutation Importance, GridSearchCV, Scaling Data, LASSO, and Sequential Feature Selection, Data Clustering.

• Deep Learning covered NLPs, RNNs, and CNNs, exploring text generation and image classification. Tensor Flow and Keras were used to build and train models. Rochester Institute of Technology

Bachelor of Science, Film / Video Production May 1997

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