Ygor Rebouças Serpa, Developer in Fortaleza, Brazil
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Ygor Rebouças Serpa

Verified Expert  in Engineering

Bio

Ygor specializes in R&D, blending a formal academic computer science education with vast professional experiences in AI, data science, game development, high-performance computing, and algorithms. Recently, he led the development of the first Brazilian computer-aided diagnostics tool for mammography images to be government-certified for commercial use. Previously, Ygor worked as an R&D professional and senior game developer on several projects.

Portfolio

Freelance
Python, PyTorch, Scikit-learn, Scikit-image, OpenCV, Flask, Unity, C#, Unity3D...
AUDO
Python, TensorFlow, Keras, Scikit-learn, Scikit-image, NumPy, Pandas, DICOM...
Onanim Studio
Unity, C#, Python, Azure PlayFab, Steam, Unity2D, Unity3D, Games, 2D Games...

Experience

  • C# - 6 years
  • TensorFlow - 4 years
  • NumPy - 4 years
  • Pandas - 4 years
  • Keras - 4 years
  • Python - 4 years
  • C++ - 4 years
  • Scikit-learn - 4 years

Availability

Part-time

Preferred Environment

Windows, Visual Studio Code (VS Code), Visual Studio, Git, Unity

The most amazing...

...feat I've achieved was developing the first Brazilian computer-aided diagnostics tool for mammography images to be government-certified for commercial use.

Work Experience

Lead Data Scientist and Unity Specialist

2021 - PRESENT
Freelance
  • Led the development of a computer vision system for tracking multiple persons within a gym and fitness setting; it also identifies and counts repetitions of performed exercises.
  • Ported and optimized the CenterTrack architecture on Windows devices with low-end graphics processing units (GPUs).
  • Developed an integration between the computer vision module and the Unity game engine for creating visually-rich representations of real-time inference.
Technologies: Python, PyTorch, Scikit-learn, Scikit-image, OpenCV, Flask, Unity, C#, Unity3D, APIs, Object Detection, 3D Pose Estimation, IP Cameras, Optimization, Artificial Intelligence (AI), Computer Vision, Models, Machine Learning

Lead Data Scientist

2019 - 2022
AUDO
  • Developed the TensorFlow-based mammography segmentation model and related submodules for micro-calcification, malignant mass, and pectoral muscle identification.
  • Optimized the developed solution to efficiently handle 16-megapixel images during training and inference and ported several algorithms to the GPU.
  • Conducted the model evaluation and analysis process following the government certification process and passing all approval steps.
Technologies: Python, TensorFlow, Keras, Scikit-learn, Scikit-image, NumPy, Pandas, DICOM, Python 3, Artificial Intelligence (AI), Computer Vision, Models, Research, Machine Learning

Senior Game Developer

2017 - 2022
Onanim Studio
  • Developed the entire game logic for the Trajes Fatais: Suits of Fate game on Unity, including all game mechanics, asset loading, artificial intelligence, and PlayFab integration.
  • Implemented a generative AI model to help artists design characters faster. The GaN-based system increased productivity by 20% and received the Best Paper Award from SBGames 2019, the Brazilian Symposium on Computer Games and Digital Entertainment.
  • Built an entirely data-driven and hot reloadable system to allow game designers to edit mechanics and weights while the game is running.
Technologies: Unity, C#, Python, Azure PlayFab, Steam, Unity2D, Unity3D, Games, 2D Games, Game AI, Game Development, Game Tools Development

Lead Data Scientist

2019 - 2021
University of Fortaleza
  • Led the R&D of a human activity recognition pipeline using low-cost cameras, object detection, tracking, and state-of-the-art pose estimation technology.
  • Spearheaded data acquisition, cleaning, and labeling efforts in developing a custom dataset of on-the-wild human activity videos.
  • Cowrote an article, Evaluating pose estimation as a solution to the fall detection problem, published at the IEEE 8th International Conference on Serious Games and Applications for Health, SeGAH 2020.
  • Managed a team of four developers, handling most of the code review and technical quality control.
Technologies: Python, TensorFlow, Keras, XGBoost, Scikit-learn, Scikit-image, OpenCV, Machine Learning, Deep Learning, JavaScript, React, Flask, Python 3, Computer Vision

Software Engineer

2018 - 2019
TotalCross
  • Took part in the platform's efforts to achieve a modern look and feel on all its supported platforms—Windows, Linux, Mac, Android, IOS, and Windows CE.
  • Ported the platform's low-level rendering code from OpenGL to Skia and performed several significant optimization efforts. We observed up to 297% speed-ups across several applications.
  • Performed extensive refactoring and review work on the platform's custom Java virtual machine written in pure C.
  • Solved more than a hundred issues for several platform clients.
Technologies: C, C++, Java, Android, Windows, Skia, OpenGL, OpenGL ES

Researcher

2014 - 2019
University of Fortaleza
  • Developed and open-sourced the Broadmark framework, a tool designed to help researchers develop, analyze, and compare novel broad-phase collision detection algorithms.
  • Gathered the most exhaustive and comprehensive set of broad-phase collision detection algorithms to date and published the work in the prestigious Computer Graphics Forum.
  • Created the current state-of-the-art algorithm for single-core broad-phase collision detection based on a hybrid of KD-Trees, sweep-and-prune, and temporal reasoning optimizations.
Technologies: C, C++, NVIDIA CUDA, Python, Computational Geometry Algorithms Library (CGAL), Bullet, Unity, OpenGL, Intel TBB, OpenMP, Physics, Ray Tracing

Game Developer

2014 - 2017
Valente Studio
  • Codeveloped several small PC and mobile titles for several local clients.
  • Coded several gameplay mechanics, UIs, and NPC behaviors.
  • Performed playtests, bug fixing, and optimization activities, both on PC and on deployed mobile builds.
Technologies: Unity, Unity2D, Unity3D, Games, 2D Games, 3D Games, 3D Graphics, 2D Graphics, Graphics, C#, Game Development, Game Tools Development

Broadmark

https://github.com/ppgia-unifor/Broadmark
The Broadmark framework was designed to help researchers develop, analyze, and compare novel broad-phase collision detection algorithms. I created the current state-of-the-art algorithm for single-core broad-phase collision detection using this framework. This single-threaded CPU algorithm outperformed all CPU algorithms and performed comparably to several GPU solutions.

Game Assets using GANs

https://github.com/nuzrub/PaintingGameAssetsWithDeepLearning
This project was a study that has shown current deep learning-based generative models are sufficiently capable of helping human artists generate art assets for games faster. In the study, we managed to speed up the drawing of game sprites up to 20% using a U-Net-based model to autocomplete drawings. This work was first published at the SBGames 2019, the Brazilian Symposium on Digital Games, where it received the Best Paper Award. Later on, we published an extended version in the Entertainment Computing Journal.
2017 - 2019

Master's Degree in Computer Science

University of Fortaleza (UNIFOR) - Fortaleza, Brazil

2012 - 2017

Bachelor's Degree in Computer Science

University of Fortaleza (UNIFOR) - Fortaleza, Brazil

2015 - 2016

Exchange Program in Artificial Intelligence

KU Leuven - Leuven, Belgium

Libraries/APIs

NumPy, TensorFlow, Keras, Scikit-learn, Pandas, Matplotlib, OpenCV, PyTorch, XGBoost, React, Skia, OpenGL, OpenGL ES, Computational Geometry Algorithms Library (CGAL), Intel TBB, OpenMP

Tools

Git, Scikit-image, Visual Studio, MATLAB

Languages

Python, C#, Python 3, Java, C, C++, SQL, HTML, CSS, JavaScript, Prolog

Frameworks

Unity, Unity2D, Unity3D, Flask, Bullet

Paradigms

Agile

Platforms

Windows, Visual Studio Code (VS Code), NVIDIA CUDA, Azure PlayFab, Steam, Android

Other

Machine Learning, Deep Learning, Computer Vision, Models, Artificial Intelligence (AI), Research, DICOM, Physics, Ray Tracing, Games, 2D Games, Game AI, Game Development, Game Tools Development, APIs, Object Detection, 3D Pose Estimation, IP Cameras, Optimization, 3D Games, 3D Graphics, 2D Graphics, Graphics

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