Looking for a job

Eduardo Vilas Boas

@eduardovilasboas

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AI engineer with expertise in computer vision and machine learning.

Brazil

Message

What I'm looking for

I am looking for opportunities that allow me to innovate in AI and machine learning, with a focus on collaborative environments that promote growth and creativity.

I am an AI Engineer with a strong background in computer vision, robotics, and machine learning applications. My expertise lies in developing AI-driven solutions that enhance perception and control systems. I have a proven track record of delivering practical, business-oriented software and automation solutions that drive profitability and efficiency.

In my recent role as a Machine Learning Engineer at PlanetFarms, I successfully trained and deployed PyTorch models that increased profitability by 40%. I integrated various technologies, including ROS2, Python, C++, Google Cloud, and PyTorch, resulting in an impressive 80% boost in profitability. My experience also includes deploying scalable backend servers and developing deep learning models that achieved 85% accuracy.

With a Master's in Data Science and Engineering from the University of Coimbra, I have developed a comprehensive understanding of machine learning pipelines and cloud deployment strategies. I am passionate about leveraging my skills to create innovative solutions that meet real-world challenges.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

PlanetFarms

Dec 2023 - Present (2 years 6 months)

● Trained and deployed PyT orch models, increasing profitability by 40%.
● Integrated ROS 2, Python, C++, Google Cloud, and PyT orch, boosting profitability by 80%.
● Leveraged Docker, Kubernetes, and Google Cloud, reducing downtime by 50% and improving deployment
speed.

PyTorch Python Google Cloud Docker Kubernetes C++Machine Learning

Software Engineer

Institute for Systems and Robotics (ISR)

Oct 2022 - Jul 2023 (9 months)

● Deployed scalable Python backend servers with Flask and FastAPI, reducing response times by 40%.
● Launched cross-platform web/mobile apps with React.js, Flutter, cutting frontend development time by
30%.
● Developed deep learning models for classification using Python, OpenCV, T ensorFlow, and PyT orch,
achieving 85% accuracy.

Python Flask fastAPI React Flutter TensorFlow PyTorch Deep Learning

Back-end Software Developer

Critical Software

Sep 2019 - Oct 2020 (1 year 1 month)

● Developed backend features in Java, improving system flexibility and reducing manual interventions by
30%.
● Optimized PL/SQL procedures, enhancing query performance by 40% and reducing processing time for
key reports.
● Containerized a legacy ticketing system with Docker, cutting server maintenance costs by 25%.

Java Pl SQL Docker Backend Development Optimization

Education

Degrees, certifications, and relevant coursework

University of Coimbra

Master's in Data Science and Engineering, Data Science and Engineering

2020 - 2022

Dissertation: Jet Navigator – Computer Vision and Deep Learning Techniques for Indoor Navigation. Developed an image-based navigation system using TensorFlow. Built and deployed a full machine learning pipeline for data collection, preprocessing, model fine-tuning, and deployment.