
Leonardo Leon Vera
Verified Expert in Engineering
Artificial Intelligence Computer Scientist and Developer
Lima, Callao Region, Peru
Toptal member since February 22, 2024
Leonardo is a computer scientist specializing in machine learning technologies. His expertise lies in developing cutting-edge image recognition applications for embedded and on-premise platforms. Passionate for forefront technological solutions, Leonardo embodies professionalism with his responsibility and self-directed learning. As a proactive individual, he is continually motivated to challenge himself by establishing result-oriented objectives that push the boundaries of his capabilities.
Portfolio
Experience
- Python 3 - 6 years
- Ubuntu - 6 years
- Machine Learning - 6 years
- TensorFlow - 4 years
- Computer Vision - 4 years
- Docker - 3 years
- DeepStream SDK - 2 years
- NVIDIA TAO - 2 years
Availability
Preferred Environment
Ubuntu, Python 3, Vim Text Editor, Visual Studio Code (VS Code), Conda, Docker, Artificial Intelligence (AI), Python
The most amazing...
...thing I've deployed is fatigue detection on a truck using TensorRT and the Jetson platform.
Work Experience
Computer Vision Engineer
Atos
- Designed and implemented an automatic MLOps pipeline using Airflow, MLflow, Data Version Control (DVC), and NVIDIA TAO to retrain object detection models in computer vision.
- Employed OpenCV and traditional computer vision techniques to solve straightforward problems that do not require intensive computations like convolutional neural networks (CNNs).
- Managed Kubernetes workflows and crafted complete Docker Compose pipelines for computer vision machine learning initiatives.
- Deployed to production with Triton Inference Server and integrated DeepStream into the abovementioned pipelines.
Computer Vision Engineer
GETTER - Amplified Industry
- Headed and created machine learning and computer vision projects for education, retail, and ergonomics 4.0.
- Implemented object detection, image classification, and pose estimation models using Keras and PyTorch.
- Executed a university project to monitor student attention using face and emotion recognition technologies.
- Introduced pose estimation technology in the industrial sector to evaluate ergonomic postures.
- Deployed fatigue detection on a truck using TensorRT and the Jetson platform.
Researcher
Centro de Tecnologías de la Información y Comunicaciones CTIC UNI
- Designed and built an autonomous robot for a robotics competition in Brazil.
- Authored and presented papers and posters at international conferences.
- Developed a beginner's deep learning course and researched you only look once (YOLO) implementations for Jetson and Raspberry Pi.
Junior Researcher
Artificial Intelligence Group of PUCP
- Implemented variational autoencoders for reconstructing 3D archaeological objects in a project.
- Utilized TensorFlow and Keras frameworks to build custom architectures.
- Contrasted models with generative adversarial networks (GANs) for a reconstruction task.
Experience
AI-powered Mini Robot for Vehicle Surveillance in Underground Parking Facilities
Education
Master's Degree in Computer Science
Pontifical Catholic University of Parana - Parana, Brazil
Bachelor's Degree in Computer Science
National University of Engineering - Lima, Peru
Certifications
English EF SET Certificate
EF SET
Skills
Libraries/APIs
OpenCV, TensorFlow, PyTorch, Keras
Tools
Vim Text Editor, NVIDIA TAO, Apache Airflow, Git, You Only Look Once (YOLO), Jetson TX2, Docker Compose, NVIDIA Jetson, Google Sheets
Languages
Python 3, Bash, Python, C++
Platforms
Ubuntu, Docker, Visual Studio Code (VS Code), Kubernetes, Arduino
Storage
Databases, Data Pipelines
Other
Machine Learning, Computer Vision, Conda, DeepStream SDK, Artificial Intelligence (AI), Open Source, K-nearest Neighbors (KNN), Optical Character Recognition (OCR), Neural Networks, Image Processing, MLflow, Deep Learning, Natural Language Processing (NLP), Convolutional Neural Networks (CNNs), Big Data, NVIDIA TensorRT, English, Robotics, Jetson TX1, Machine Learning Operations (MLOps)
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