I am a Lead Data Scientist
and Machine Learning engineer
with +14 years of international experience in
Defense and Aerospace industries.
I have an entrepreneurial vein, lots
of programming skills, a neck to unlock
value buried in data and a passion
for product development.
Research and Development of future Artificial Intelligence applications for the next generation of autonomous vehicles infotainment system at Ford's R&D laboratory.
The new applications are conceived in a series of proof-of-concepts for the self-driving car including different areas such as Deep Learning, Computer Vision, user recommendation, embedded systems and connectivity with other devices.
Development of an alert system capable of
covertly screening moving individuals for on-body concealed weapons.
Applied Convolution Neural Network and Digital Signal
Processing on radar and magnetic signals.
Mentored Data Science co-ops from University of Toronto for data collection and data analysis.
Got promoted in 3 months to lead a technical team,
reporting directly to VP of Engineering.
Embedded code for automotive cluster: BMW and Continental.
Proofs-of-Concept for Industry 4.0 for manufacturing maintenance including Additive Manufacturing
(3D printer), Augmented Reality and Artificial Intelligence.
Co-founder and CTO of the most attractive Brazilian startup in 2017 during my part-time by offering Augmented Reality app for maintenance.
Commissioning of submarine combat system: IVVQ, STW and FAT.
$200K contract prospected and managed, ending with profit.
Guidance, Control, Navigation for missiles applying sensor fusion with Kalman Filter.
Simulation of jet fighter engine.
Artificial Intelligence product lifecycle, how to conceive a Business Case for Machine Learning, FigureEight online tool for data annotation, Google AutoML for fast Data Science project and online deployment.
Convolutional Neural Network, Recurrent Neural Network, Generative Adversarial Network, Transfer Learning, deploy web app online, reading articles to implement state-of-the-art neural networks.
Supervised, Unsupervised, Reinforcement Learning.
Table merging, data cleaning, visualization, integration with Office 365.
Entrepreneurship, project management, marketing.
Aerodynamics, flight dynamics and control.
Structural analysis, thermodynamics, fluids, simulation and weapon design.
Video Processing
Convolutional Neural Network
Volunteer Work
Google AutoML Cloud Services
Generative Adversarial Networks
Convolutional Neural Networks
Natural Language Processing
Unsupervised Learning
Transfer Learning
Supervised Learning
Reinforcement Learning
Recurrent Neural Network
Unsupervised Learning
Style Transfer