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Vetted PyTorch developer in Brazil (UTC-3)
DataScientist/Engineer currently residing in Brazil, with experience in analyzing data and developing algorithms for discovering solutions to challenging problems. Passionate about seeing how understanding of data can bring about real change in our perspectives and lives.
Vetted PyTorch developer in Brazil (UTC-3)
Hi! I'm an engineer with 14+ years of professional programming experience in machine learning, finance, numerical methods and app/api development. I've worked with startups, well regarded hedge funds and a number of companies as a consultant over this time. I have a wide range of experience with (not limited to) low level/GPU programming (OpenCL/CUDA/C99/C++/ASM), web/api development and machine learning.
Vetted PyTorch developer in Brazil (UTC-3)
Data Scientist with experience in Machine Learning, data analysis, and data engineering. Implemented, trained and deployed state-of-the-art Deep Learning architectures such as Transformers, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), and fine-tuned pre-trained models (e.g. Google’s BERT and NVDIA’s WaveGlow), in addition to deploying classical Machine Learning algorithms such as Gradient Boosting and Multinomial Naive Bayes, for Natural Language Processing (NLP), computer vision, voice synthesis, credit risk, and predictive analytics applications, with international clients in the sectors of finance, healthcare, energy, and logistics.
Vetted PyTorch developer in Brazil (UTC-4)
Intel AI Innovator, with over 5 years of experience as a Computer Vision and Machine Learning Engineer, I specialize in building cutting-edge AI solutions for civil engineering, human safety, tech consulting, and consumer electronics industries. I’ve led full-scale AI projects, managing everything from data curation and model training to MLOps and edge optimization, delivering scalable systems with real-world impact. My expertise spans Python, C++, TensorFlow, PyTorch, OpenCV, Open3D, and cloud platforms like GCP and AWS. I optimize performance, utilize C++ for real-time processing, and deploy highly efficient models on edge devices with TensorRT, ONNX, and OpenVINO. My work in 3D reconstruction, point cloud processing, and object tracking showcases my ability to integrate advanced techniques such as synthetic data generation and self-supervised learning. Graduating summa cum laude in Computer Engineering, and as a recognized member of the Intel AI Innovators program, I combine my technical depth with a passion for AI innovation. I am committed to driving impactful AI solutions that help businesses leverage the full potential of computer vision and machine learning. Skills: Python | C++ | OpenCV | Open3D | PyTorch | TensorFlow | Docker | OpenMMLab | TensorRT | ONNX | OpenVINO | GCP | AWS | Intel AI Innovator
Vetted PyTorch developer in Brazil (UTC-3)
Mid Computer Vision Engineer with good skills in the area of data engineering and computer vision. Motivated to take on new challenges and eager to learn. Good team player and communicative.
Vetted PyTorch developer in Brazil (UTC-3)
I am an Engineer experienced in Python, having worked on multiple applications, ranging from academic research (embedded circuits and time series modeling) to industrial (logistics, finance market, and speech recognition). **TECH STACK** Python: ○ Flask, SQLAlchemy, FastAPI, DRF ○ Pandas, Numpy, Scipy ○ Scrapy ○ Matplotlib, Seaborn, Dash, Plotly ○ Jupyter, Ipython ○ Pytest / TDD ○ Pyspark ○ Keras, TF, Pytorch Databases: ○ PostgreSQL, MySQL DevOps: ○ Jenkins, Docker, Git Cloud: ○ AWS and GCP **COURSES AND CERTIFICATIONS** Database Design and Basic SQL in PostgreSQL Applied Machine Learning in Python Applied Plotting, Charting & Data Representation in Python Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Natural Language Processing with Probabilistic Models Natural Language Processing with Classification and Vector Spaces Python Data Structures Using Databases with Python Object-Oriented Programming Laboratory
Vetted PyTorch developer in Brazil (UTC-3)
I am a senior data scientist, a leading company in the field of artificial intelligence applied to human resources. With over five years of experience in data science and machine learning, I have a strong passion for solving real-world problems using data. I thrive on extracting value from data through the scientific method, applying machine learning and deep learning techniques. My expertise lies in statistical analysis, including exploratory data analysis and hypothesis testing. I have worked on challenging projects, developing and implementing models to provide valuable insights for business decisions. I excel at storytelling and have the ability to create descriptive and predictive models that reveal valuable insights for the business. I also have a special interest in time series forecasting, enabling organizations to make informed decisions based on future trends. In terms of technical skills, I am proficient in Python, SQL, AWS, and Docker. These tools enable me to manipulate and analyze data efficiently, ensuring accurate and reliable results. Additionally, I have experience in MLOps, which allows me to deploy, monitor, and maintain machine learning models in production environments.
Vetted PyTorch developer in Brazil (UTC-3)
With over 6 years of experience in machine learning, I excel at extracting valuable insights from diverse datasets. My strong skills in python coding, statistics, and deep learning enable me to tackle complex problems effectively. Alongside my professional work, I nurture a passion for puzzles and actively participate in Kaggle competitions during my free time. Holding a master’s degree in AI, I am dedicated to leveraging my knowledge to build intelligent and scalable systems, with a particular focus on MLE. Furthermore, I have had the privilege of teaching machine learning, deep learning, and data science to hundreds of students, contributing to the growth and development of future professionals in the field.
Vetted PyTorch developer in Brazil (UTC-3)
I am a Research scientist in machine learning and computer vision. I received a B.S. in Electrical Engineering in 2008, M.S. in Computer Engineering in 2015, and Ph.D. in Computer Engineering in 2020. I also worked as an instrumentation engineer at Chemtech - A Siemens Company from 2008-2010 and as a solar energy engineer at Gas Technology Center and Renewable Energy (CTGAS-ER) from 2011-2013.
Vetted PyTorch developer in Brazil (UTC-3)
Graduated in Computer Science from the Federal University of Ceará - Campus Quixadá. Master in Computer Science from the State University of Campinas - Unicamp. I am interested in the areas of Artificial Intelligence, with an emphasis on Machine Learning and Image Processing. Currently I do research in Deep Learning with a focus on Computer Vision and Image Processing and work as a data scientist I am passionate about computer vision and machine learning and enthusiast of developing tools that help people.
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