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jtfb/README.md

Tiago Foa

Senior Imaging Engineer · Machine Learning · AI-Driven Image Systems

AI & Image Science banner

🌐 Portfolio💼 LinkedIn🎬 IMDb


👨‍💻 About Me

I am a senior technical professional with 20+ years of experience across film, visual effects, and high-end post-production. My work sits at the intersection of image science, software engineering, and data-driven systems, with a strong focus on machine learning and AI-assisted workflows.

I specialize in building production-safe tools, scalable pipelines, and analytical systems that turn complex visual data into reliable, explainable results.


🧠 Core Expertise

🤖 Machine Learning & Data

  • Applied ML: Image analysis, predictive modeling, and feature engineering.
  • Data Science: Regression, classification, and model evaluation (University of Toronto).
  • Validation: Implementing robust metrics for production-ready AI.

🧪 Image Science & VFX Engineering

  • Pipelines: Expert in OCIO / ACES (ACEScg, HDR, SDR) and camera color science.
  • Imaging: EXR pipelines, compression strategies, and metadata validation.
  • Quality Control: Automated QC and ΔE image comparison tools.

💻 Software & Tooling

  • Python: NumPy, Pandas, OpenCV, OpenImageIO, OpenColorIO.
  • Database: SQL for large-scale production data analysis.
  • Automation: Production-oriented scripting and Git-based CI/CD workflows.

🎬 Selected Film & TV Credits

Working with studios like One Of Us, Technicolor, Mr.X, Netflix, Disney, and Paramount+

1923 Ant-Man Beacon 23 Goosebumps

Mrs. Davis Percy Jackson Secret Invasion The Creator

🔗 View Full Credits on IMDb


📊 GitHub Ecosystem


🧭 Professional Philosophy

"Blending the art of the frame with the logic of the code."

I am dedicated to transforming complex visual signals into robust, scalable, real-world solutions—turning bytes into magic.


📍 Paris, France | 🌐 tiagofoa.com

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  1. disease_prediction_machine_learning disease_prediction_machine_learning Public

    Forked from msugar/disease_prediction_machine_learning

    Data Science Institute - Cohort 4 - Team Project

    Jupyter Notebook

  2. nuke_framesync nuke_framesync Public

    Python

  3. applying_statistical_concepts applying_statistical_concepts Public

    Forked from UofT-DSI/LCR

    UofT-DSI_applying_statistical_concepts

    Jupyter Notebook

  4. OCIO2.0 OCIO2.0 Public

    Ocio2.0 with env variables

    1

  5. video_levels video_levels Public

    Tool for nuke to switch between video and full levels

    1