Patrick Alves Email & Phone Number

Belém, Pa, Br

San Francisco Bay Area

At Visual Aid, I lead the AI and MLOps efforts, overseeing Hyper Scaler pipelines and implementing Generative Models, Computer Vision, and Classification technologies. I plan and manage Retrieval-Augmented Generation (RAG) and inference processes, ensuring scalable and efficient AI deployments. My leadership ensures robust, high-performance AI solutions that drive innovation and excellence.I oversee a team of engineers, providing mentorship and guidance to new members, fostering a collaborative and high-achieving environment. My role includes strategic planning and execution, ensuring our AI initiatives align with business goals and deliver significant value.

Belém, Pará, Brazil

I work building data-driven audit solutions using data analytics and Machine Learning. The projects I am working seeks to perform extraction and fast processing of large volumes of data and provide analysis to auditors on which to base their conclusion, saving time within the audit and allowing better focus on judgemental and risk areas. The main objective is to build an AI platform for discovering and analyzing patterns, deviations, and inconsistencies, and extracting other useful information in the data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for the purpose of planning and performing the audit. Thus, allowing auditors to perform more effective and quality audits.

Belém

Assignments: supervision, planning, and administration of IT infrastructure. I've worked with the automation of IT routines using Python, move applications to Docker + Kubernetes environments applying DevOps solutions to optimize infrastructure. Support in the network infrastructure with installation, and configuration of switches, wireless equipment, and assistance and monitoring of the Tier 3 Datacenter.

Potsdam, Brandenburg, Germany

Development and guidance in setting up pipelines for Machine Learning and Deep Learning, i.e. feature stores, deployment of models, data version control, infrastructure for training and inference of models, containerizing all services, experiment tracking, models monitoring, etc. These procedures are performed on huge datasets with billions of data points and very extensive processes (e.g. link prediction, community detection in graphs).

San Francisco Bay Area

At Neural Corporation, I specialized in training Generative Models and advancing Computer Vision and Classification technologies. Utilizing Python and MLOps frameworks, I developed and deployed scalable AI solutions that improved the accuracy and efficiency of our image and data analysis systems. My work contributed significantly to enhancing the company's AI capabilities and product offerings.I collaborated with cross-functional teams to deliver high-impact AI solutions tailored for complex manufacturing and supply chain challenges. Additionally, I provided mentorship to junior engineers, fostering a culture of continuous learning and technical excellence.

Toronto E Região, Canadá

I was responsible for developing reliable and scalable web data collectors (bots for web scraping) for several websites. The bots need to perform tasks like login, form submissions (ex: search), file download, web page screenshots, data extraction, save the data in JSON format and upload it to AWS S3. All bots are developed in Python and deployed as Docker containers in AWS.

I've helped people leverage Machine Learning to create innovative products through an end-to-end machine learning development process that designs, builds, and manages reproducible, testable, scalable, and evolvable ML-powered software.Upwork profile: https://bit.ly/3oaAxV2My specialties are:✓ Build Machine Learning models to solve Classification, Regression, NLP, and Computer Vision problems;✓ Build scalable APIs for operationalizing Machine Learning models and analytics solutions;✓ Containerized Machine Learning solutions to runs in docker/Kubernetes;✓ MLOPs to building Machine Learning pipelines with Airflow and Kubeflow.✓ Deploy Machine Learning solutions in the Cloud (AWS and GCP);✓ Python development with several ML frameworks (Pytorch, TensorFlow, Keras, Scikit-learn, etc.)✓ Version Control and setup of CI/CD pipelines with Github/GitLab/BitBucket.

Universidade Federal Do Pará

Research in the areas of performance evaluation of 4G Networks (LTE) using Femtocells with discrete simulation and assessment of long-term forecast models for Social Security. My final project was the development of a simulator (SimPrev) that enables anyone to carry out a forecast of expenses and revenues of Social Security. Simulator available at https://github.com/cpatrickalves/simprev

Castanhal

Professor of the following topics: Computer Network Architectures, Internet Protocols Architecture, and Computers Architecture.

Belém

Installation and maintenance of Telecommunications Infrastructures: installation of broadband radio antennas (2.4 and 5.8 GHz), structured cabling, routers configuration and network monitoring. Technical support to users: configuration of equipment, emails, identification and resolution of technical problems.

Belém

Development of speech recognition applications for people with special needs, speech recognition applied to forensic investigation, tests of dynamic spectrum management systems in ADSL systems.

Belém E Região, Brasil

Support of IT infrastructure, maintenance, and support of Linux servers, workstations configuration, users registration and backup. Web development with PHP and MySql database. Development of speech recognition systems for Brazilian Portuguese.

Phd In Electrical Engineering, Applied Computing

Activities and Societies: During the doctorate, I worked at High-Performance Networks Planning Lab (LPRAD) and Laboratory of Social.

Master In Electrical Engineering, Speech Recognition

Activities and Societies: Laboratory of Signal Processing at the Federal University of Pará I produced speech and text databases.

Computer Engineering, Speech Recognition, Speaker Recognition And Signal Processing

Activities and Societies: Laboratory of Signal Processing Development of Speech Recognition models for Brazilian Portuguese using Spoltech.