Hire the Top 2% of
Remote Keras Developers
in Brazil

Adriano F.

Vetted Keras developer in Brazil (UTC-3)

Experienced Research And Development Specialist with a demonstrated history of working in the computer software industry and academy. Skilled in topics such as Machine Learning, Computer Vision, Software Engineering, and System Architecture. Strong engineering professional graduated from Universidade Estadual de Campinas.

Francisco A.

Vetted Keras 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.

Anna C.

Vetted Keras developer in Brazil (UTC-3)

Knows different types of programming language and ETL softwares. Can work with diverse teams and have good communication skills. Great experience with analytics, often gives new ideas with critical reasoning and thinks outside the box. Capable of presenting functional and innovative solutions. Detail oriented, collaborative and easily adapt to new circumstances

Fernando W.

Vetted Keras developer in Brazil (UTC-3)

Hello, I am a senior data scientist with experience in data science, machine learning, deep learning, and optimization. My expertise includes designing and evaluating recommender systems for co-founder matchmaking, building PySpark pipelines, and creating product categorization models for millions of products. I am also skilled in teaching and leadership, having founded the data science department of an online e-learning startup, where I developed and taught a course on data science and machine learning. Additionally, I have consulted on various AI projects, including applying MLOps to a real estate valuation model and segmenting medical questions into topics using deep learning-based methods like BERT + k-means. I have a Master of Science in Electrical Engineering with a focus on optimization applied to non-intrusive load monitoring. I have also received certifications in Deep Learning from the University of San Francisco and have completed a summer research project at Carnegie Mellon University. Overall, I am passionate about data science and always looking to take on new challenges and learn from others.

Luis R.

Vetted Keras developer in Brazil (UTC-3)

I have experience with backend and Computer Vision algorithms development. My main motivation is to help people with the tools that i develop, learning all i can in the process. I like to work with artificial intelligence because it is a wonderful math tool. Python | Typescript | OpenCV | Numpy | Tensorflow | Pytorch | Pandas | SciKit-learn | AWS | GCP | Serverless | Docker | Kubernetes

Ramon L.

Vetted Keras 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.

Rodrigo B.

Vetted Keras developer in Brazil (UTC-3)

I'm a Full Stack Data Scientist from Brazil, with more than 4 years of professional experience in the field. As a Data scientist, I'm very experienced with Python, NLP and TensorFlow. Also, since I'm currently working at Central Bank of Brazil, I have plenty of experience in Finance. With my previous experiences and my specialized knowledge in both fields, I'm really confident that I can bring elegant solutions to develop the models that you need for your business.

Andre O.

Keras developer in Brazil (UTC-3)

Machine Learning Research Engineer with 5 years experience in research and development (machine learning, artificial neural networks, NLP and computer vision alghoritms) and cloud product development. Skilled in development of AI systems integrated throught microservices, using open-source tools and running on cloud providers. Currently interested in neuroscience, neuroengineer, brain computer interface (BCI), Motor Imagery(MI), non-invasive language codecs, avatar neurocodecs and serious game with VR/AR and neurorehabilitation.

André V.

Keras developer in Brazil (UTC-3)

Experienced in R&D projects. My experience can be summarized in Computer Vision, Image Processing and Academic Research. My PhD project applies deep learning-based computer vision in industrial inspection. More specifically, I apply and improve Object Detection, Image Classification and Unsupervised Anomaly Detection methods to inspect power line components in the wild (UAV imagery). I also work with anomaly detection methods for traditional controlled scenarios, such as production-line industrial object inspection. I have experience deploying ML models into production using Cloud services (AWS). I currently work as a Compute Vision Engineer in the facial biometrics industry. * I was responsible for managing and developing a company/university cooperation project in which I used Deep Learning methods (PyTorch, TorchScript) for defect inspection and anomaly detection in UAV images. * The developed technology, [A.qu.i.l.es.](https://voxarlabs.cin.ufpe.br/~voxarlabs/), was integrated into a product called [PowerInspekt](https://www.informa.com.br/powerinspekt-conheca-a-solucao-que-identifica-anomalias-atraves-de-imagens-coletadas-por-drones/) and was shipped into production (AWS EC2) for power line inspections. * An algorithms paper was published in WACV 2024 ([AttentDifferNet](https://openaccess.thecvf.com/content/WACV2024/papers/Vieira_e_Silva_Attention_Modules_Improve_Image-Level_Anomaly_Detection_for_Industrial_Inspection_A_WACV_2024_paper.pdf)), one of the most important computer vision conferences in the world. * Two dataset papers were developed; one was published and presented at SIBGRAPI 2021 ([STN PLAD](https://github.com/andreluizbvs/PLAD)), and the other, InsPLAD, was accepted for publication in the International Journal of Remote Sensing (Impact Factor: 3.4) in 2023. * In my master's thesis, I built a fluid simulation open-source tool (VoxarMPS) in C/C++, elevating the method to the state-of-the-art and applying parallelism through OpenMP and CUDA. It was published in the Computer Physics Communications journal (Impact Factor: 6.3).

Rodrigo R.

Keras developer in Brazil (UTC-3)

Computer Vision and Machine Learning Engineer with almost 5 years of experience, specialized in developing innovative solutions and optimize process through computer vision. My background includes geospatial data science, applying image processing and machine learning techniques for remote sensing aplications. Additionally, I have knowledge of embedded systems, enabling me to deploy computer vision solutions at the edge. I've contributed on projects involving all the machine learning engineering workflow, from data collection and model training to deployment in production environments. Highlighted Expertises: \- Data Science \- Geospatial Data Science \- Data Engineering \- Machine Learning (ML) \- Artificial Intelligence (AI) \- Computer Vision (CV) \- Remote Sensing \- Image Processing \- Geographic Information System (GIS) \- Embedded Systems \- Python Programming \- C++ Programming \- Java Programming \- Object-Oriented Programming (OOP) Hands-on expertise: \- Frameworks/applications: Tensorflow, Keras, NumPy, Pandas, GeoPandas, OpenCV, scikit-image, Python Imageing Library, scikit-learn, Matplotlib, QGIS, Jupyter-Notebook, Git, VS-Code, Qt Creator, PyQt, Android Studio, Jira, Kanban, Flask, PyTorch. \- Cloud: Google Cloud Professional Data Engineer Certified, AWS. \- Artificial Inteligence and Machine Learning: Deep Learning, Feature Engineering, Regression, Classification, Object Detection, Convolution Neural Network, YOLO, VGG. \- Drones and UAV related: DJI Mavic Air, DJI Matrice - M210. DJI Mobile SDK, Onboard SDK and UX SDK. \- Languages: Python, C++, Java, C. \- Single-board-computers and embedded systems related: Nvidia Jetson Nano, Raspberry Pi, BeagleBone, Intel Neural Computer Stick.