linkedin.com/in/gus-moura • github.com/gustavo-moura • Google Scholar
AI engineer with 7 years of experience leading teams to design, build, and deploy end-to-end machine learning solutions. Experienced in defining product roadmaps, consulting on AI strategy, and developing scalable backend systems. Published in top-tier conferences, with a strong background in both research and Silicon Valley startups.
PROFESSIONAL EXPERIENCE
Senior Machine Learning Engineer - Buzz Solutions | USA, remote January 2023 - Present
Led the computer vision strategy for the startup, scaling solutions as the client base grew.
Introduced Docker to streamline development and production pipelines, cutting deployment times by 40%.
Conducted machine learning research, defining the tech stack and guiding the team towards state of the art.
Secured 3 new clients in the US and internationally by organizing 10+ successful trials.
Revamped the AI pipeline, introducing YOLO and data-centric approaches that significantly improved model performance to >90% accuracy.
Skills: Python, Leadership, Machine Learning, Computer Vision, Pytorch, Google Cloud Platform
Computer Vision Consultant - NEC X Venture |USA and Singapore, remote January 2023 - May 2023
Analyzed and designed the technology and innovation roadmap for the AI department, which led to the increase in budget for 5 startups.
Developed proof-of-concepts in PyTorch for a real-time anomaly detection system that increased efficiency and avoided broken parts in a manufacturer industry.
Skills: Innovation Roadmap Planning, Analysis, Communication, Storytelling, PyTorch
Machine Learning Engineer - Eldorado Research Institute | Brazil, remote August 2019 - December 2022
Mentored a team of 12 junior developers, with 4 members being promoted to mid-level developer roles within a year.
Spearheaded discussions in conferences on AI impacts and regulations, leading to increased collaboration opportunities with academia and industry.
Achieved 85% accuracy in object detection for autonomous drones using synthetic data, improving reliability for drone-based applications.
Led the transition to Scrum, boosting delivery rates by 150%, and ensuring 20% more project milestones were achieved on time.
Designed technical interviews and participated in the hiring process, contributing to the successful recruitment of 5 new team members, all of whom seamlessly integrated into their roles.
Developed a document enhancement AI technique deployed by a major smartphone manufacturer, that led the partner to publish a paper and a patent.
Interviewed, coached, and trained new hires, resulting in seamless integration of new team members into project workflows.
Skills: Python, Docker, Kubernetes, Tensorflow, Team management, Planning, Testing
Data Science Intern - Siena Company | Brazil, in person July 2018 - August 2019
Developed an efficient document search system for Brazilian registry offices, reducing search time from hours to minutes.
Implemented Python-based REST API hosted on AWS.
Applied Natural Language Processing to extract relevant words and improve search accuracy.
Deployed the system in 25+ registries, reducing search time to seconds for daily users.
Skills: Python, Backend development, REST API, AWS
LANGUAGES
English (Fluent, C1 - Toefl iTP); Portuguese (Native); Spanish (Intermediate); Italian (Beginner)
EDUCATION
USP - University Of Sao Paulo | Brazil August 2021 - September 2024
Masters of Computer Science and Mathematical Computing, Artificial Intelligence
Awarded Academic, Cultural and Scientific Highlight by the Brazilian Computer Society (SBC)
Research about safe reinforcement learning methods in complex real-time scenarios
Contribution to Open-Source Gymnasium with the Itomori environment for simulating risk in path-planning.
Unicamp - Campinas University | Brazil January 2020 - December 2020
Graduate Researcher
Researched about computer vision and deep learning
USP - University Of Sao Paulo | Brazil January 2016 - December 2019
Bachelor of Computer Science with emphasis in Data Science
Awarded Academic Highlight and Best Student of the Course between the graduates - 2019 at USP
Two times Academic Highlight Award winner for the best grades of the year - 2016, 2017 at USP
Sao Paulo Adventist Institute | Brazil January 2014 - December 2015
Computer Technician
Awarded the Best Student of the Course in 2015 for standout performance and high grades
Conference: Carvalho, M.; de Moura, G. et al (2020). Automating information extraction from legacy well drilling schematics files. Rio Oil and Gas.
TECHNICAL SKILLS
Languages and Frameworks: Python, C, Unity, Unreal
Libraries: Numpy, Pandas, Matplotlib, Scikit-Learn
AI: Tensorflow, Pytorch, Yolo, Machine Learning, Deep Learning, Reinforcement Learning, Evolutionary Systems, Neural Networks, Natural Language Processing.
Software Engineering: UML, Project Management, Literate Computing, Reproducibility.
Database: SQL, Elasticsearch, Non-Relational DBs.
Version Control: GIT, Bitbucket, Github, Gitlab.
Agile Methods and Frameworks: Scrum, Kanban, Customized Frameworks.
DevOps: Docker, CI/CD, Kubernetes.
Collaboration: Slack, Microsoft Teams, Jira, Google workspace
CULTURAL AND VOLUNTEERING EXPERIENCES
Graduate Teaching Assistant July 2021 - present
“Problem Oriented Machine Learning” - 1/2023
“Neural Networks and Deep Learning” - 2/2022
Worked with Professor Dr. Claudio Toledo (ICMC-USP) to guide and tutor scientific initiation undergraduate students, developing projects on AI applied to game development.
Machine Learning Group: member February 2020 - December 2022
As part of Eldorado's incentive, employers can dedicate part of weekly hours to work on a specific project. The project I chose this year is the development of a classification algorithm using Deep Learning for hand gestures recognition, receiving signals from s-EMG, and applying the predicted movement on a hand prosthesis.
Japanese Cuisine: alumni August 2020 - December 2020
DATA: founder and member July 2019 - December 2019
I helped the founding of the first Data Science group at the University of Sao Paulo, called DATA. We gave lectures on the basic principles of machine learning and data processing.
Por Trás dos Controles: founder and director January 2018 - December 2019
Fellowship of the Game (FoG): member March 2016 - January 2020
The game development student group focuses on research and knowledge sharing. I had experiences leading groups and developing in Unity and VR. Games I was involved in: Ermo, Otter Shootout and Von Rage.
Guest Lecture Speaker 2018
“Introduction to Game Development with Unity” on 10.24.2018 at ICMC-USP
“Introduction to Object-Oriented Programming” on 04.18.2018 at ICMC-USP
Undergraduate Teaching Assistant 2017
Volunteer 2016 - 2017