Gabriel de Souza Lima

Knowledge should not only be understood — it should inspire innovation, spark creativity, and be applied to build a smarter, brighter, and more connected future.

About Me

I’m a specialist in machine learning and computer vision, passionate about creating intelligent solutions that power real-time embedded systems, enhance computer vision applications, and advance systems engineering. As an educator, I inspire my students to explore the frontier of technology through hands-on projects that transform abstract concepts into real-world innovation. Currently pursuing a PhD in Systems Engineering with a focus on artificial intelligence.

Skills

Specific Libraries and Tools:

TensorFlow
TensorFlow
PyTorch
PyTorch
Scikit-learn
Scikit-learn
Gym
Keras
OpenCV
OpenCV
NumPy
NumPy
Pandas
Pandas
GeoPandas
GeoPandas

Operating Systems, Programming Languages and Hardwares:

Linux
Linux
Python
Python
Matlab
Matlab
Raspberry
Raspberry
Jetson
Jetson
ESP32
ESP32
Arduino
Arduino
MSP430
MSP430

Technologies:

Docker
Docker
Redis
Redis
GitHu
GitHub
Matlab
Rabbitmq
Openssh
Openssh
TaigaHo
Taiga
OpenVino
Vscode
>Arflow
Arflow

Qualifications

Education
Work
Prizes

Ph.D in Artificial Intelligence

São Paulo University, USP
2025 – Present

M.Sc. in Artificial Intelligence

São Paulo University, USP
2021 – 2024

B.Sc in Electronic Engineering

São Judas University, USJT
2013 -2018

AI Tech Lead

Intelicity
Nov 2022 – Present

Engineering Professor

Maua Institute of Technology
Mar 2024 – Present

Machine Learning Software Engineer

FDTE
Aug 2019 – Nov 2022

Top 100 AI Developers in Latin America IBM

Behind the code
2021

Best Electronic Engineer Student

São Judas University, USJT
2019

Expertise

Research

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Research

  • Development of Novel AI Applications.

  • Exploration of Machine Learning Architectures.

  • Data Collection and Annotation Strategies.

  • Investigation of Advanced Computer Vision Techniques.

  • Experimental Design and Statistical Analysis.

  • Scientific Writing and Publication in Peer-Reviewed Journals.

Education and Trainings

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Education and Trainings

  • Technical Training Programs.

  • e-Learning Content Development.

  • Workshops and Mentoring.

Technical Leadership

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Technical Leadership

  • Strategic Technology Planning.

  • Team Building and Mentorshipt.

  • Architectural Design and Decision-Making.

  • Technology Evaluation and Adoption.

  • Scaling Systems and Teams.

  • Technical Roadmap Development.

Emerging Technologies

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Emerging Technologies

  • Blockchain Development.

  • Internet of Things (IoT) Solutions.

  • Computing Basics.

  • Edge Computing Solutions.

Software Development

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Software Development

  • End-to-End Automation Solutions.

  • AI-Driven Decision Systems.

  • Predictive Systems.

  • Image Classification and Recognition Systems.

  • Real-Time Video Analysis.

Edge Systems

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Edge Systems

  • Implementation of Edge Computing Architectures.

  • Development of Edge AI Models for Real-Time Decision-Making.

  • Real-Time Video and Image Processing at the Edge.

  • Integration of IoT Devices.

  • Deployment of Containerized Applications on Edge Systems.

  • Applications of Edge Systems in Smart Cities and Industry 4.0.

Portfolio

Black Jack

Training an AI agent to play the Black Jack Game using PyTorch and Gymnasium.

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Frozen Lake

Training an AI agent to escape a frozen lake using PyTorch and Gymnasium.

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Featurewiz Logo

Pong

Training an AI agent to play atari's pong game using PyTorch and Gymnasium.

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Algorithm Challenges

Collection of hundreds of algorithm challenges solved from SPOJ.

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Mnist Digit Recognition

Handwritten digit recognition using the MNIST dataset and machine learning.

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Publications

Pavement anomaly detection using inertial sensors

Master’s Thesis

Thesis focusing on the development of an descentralized automated system for detecting potholes, speed bumps, and other pavement anomalies using artificial intelligence.

Influence of construction materials density on data transmissionperformance of IOT devices

Automation In Construction

The paper evaluates the influence of construction material density on the performance of data transmission from IoT (internet of things) devices in a laboratory.

The reliability of using iot devices to monitor the temperature of cast-in-place concrete

64° Brazilian Concrete Congress

The study explores the use of IoT devices for monitoring concrete's internal temperature during its initial hydration phase.

Sampling frequency definition for a pavement anomaly detection system

Dycaels 2023

This study addresses the optimization of sampling frequency for inertial sensors in automatic systems for pavement anomaly detection.

Contact Me

Email

souza.gslima@gmail.com

Location

São Paulo, Brazil