Wilder Lopes

Wilder Lopes, Ph.D.

AI Consultant, Entrepreneur | Computational Infrastructure & AI Systems Architect

wbl@lopes.ai | Tulsa, OK, United States | +1 (918) 606 2368

Entrepreneurial AI infrastructure expert and machine learning engineer with a Ph.D. in Signal Processing and Machine Learning. Proven record in scaling AI solutions and optimizing computational performance. Experienced in leading cross-functional R&D teams, designing scalable AI systems, and delivering high-performance software for complex environments. Recognized for pioneering geometric algebra applications in AI and for leading the creation of innovative AI startups, including a successful exit.

Skills

Specializations: Machine Learning, Generative AI Software, Adaptive Filtering, High-Performance Computing, Clifford (Geometric) Algebras, Integrated-Circuit Design

Languages & Tools: Python, C++, Docker, REST APIs, PyTorch, TensorFlow, scikit-learn, openai, google-generativeai, CUDA

Platforms: Linux, MacOS,Windows, Nvidia, Cloud Infrastructure (AWS, GCP, Azure, OpenAI), Cadence (Integrated-Circuit Design)

Leadership: Team Management, Product Roadmap Development, Strategic Visioning, Cross-functional Team Collaboration, Startup Fundraising

Select Projects

Professional Experience

Founder & CEO - Ogre.run, Tulsa, OK (09/2023 – Present)

Designing and commercializing a 'code once, run anywhere' developer tool, using AI for dependency management across computational environments. Leading a team of 4 engineers, integrating large-language models and optimizing code execution on Nvidia and Tenstorrent platforms. Raised $100K from Angel investors.

Chief Architect, Machine Learning (Contract) - Permion.ai, Vienna, VA, USA (Remote) (09/2021 – 12/2023)

Directed the R&D team to integrate neurosymbolic AI infrastructure with deep learning models, achieving enhanced functionality for banking and defense applications. Scaled MLOps for multi-platform deployment, coordinating between R&D and production teams.

Founder & Chief Architect - Ogarantia, Paris, France (08/2021 – 03/2024)

Established Ogarantia as a deep-tech consultancy, creating AI solutions and driving adoption of cutting-edge mathematical frameworks, such as Clifford Algebra for neural networks, for clients based in the USA and Europe.

Co-founder & CTO - Upstride (Acquired by ContentSquare), Paris, France (10/2018 – 07/2021)

My first tech startup. I led the development of a computational engine leveraging geometric algebra, raising over €3M and establishing partnerships with Nvidia, Google, and AWS. Served high-profile clients like BMW. Instrumental in Upstride’s acquisition by ContentSquare, managing a team of 11 engineers.

Applied Scientist (Machine Learning) - UCit.fr, Paris, France (05/2017 – 09/2018)

Designed ML algorithms to optimize HPC systems, spearheading UCit’s ML R&D strategy and introducing predictive algorithms to model HPC workload patterns.

Postdoctoral Researcher - Thales Group, Palaiseau, France (04/2016 – 02/2017)

Developed adaptive filtering algorithms for real-time data processing at CERN, reducing power consumption in HPC clusters and presenting results globally. Supported by the prestigious Marie Curie Research Fellowship.

Analog and Mixed-Signal IC Engineer - LSITEC, Sao Paulo, Brazil (02/2009 – 02/2010)

Design, simulation and verification of analog and digital blocks for application-specific integrated circuits (ASICs). Use of Cadence tools (ADE, AMS designer, Spectre, SpectreRF).

Education

Ph.D., Signal Processing and Machine Learning (2012-2016)
University of Sao Paulo (Brazil) & Technical University Munich (Germany)
Thesis: Geometric-Algebra Adaptive Filters

M.Sc., Electronic Systems Engineering (2010-2012)
University of Sao Paulo, Brazil

Specialization in Mixed-Signal Integrated-Circuit Design (2008-2009)
CTI Renato Archer, Campinas, Brazil

B.Sc., Electrical Engineering (2003-2008)
Federal University of Bahia, Brazil

Select Publications

Geometric-Algebra Adaptive Filters – IEEE Transactions on Signal Processing

Geometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation – IEEE Signal Processing Letters

Clifford Convolutional Neural Networks: Concepts, Implementation, and an Application for Lymphoblast Image Classification - Springer Nature, Advanced Computational Applications of Geometric Algebra

6DOF Point Cloud Alignment using Geometric Algebra-based Adaptive Filtering - IEEE Workshop on Applications of Computer Vision

Professional Affiliations & Honors

Marie Curie Research Fellowship, European Union

IEEE Signal Processing Magazine, Reviewer

NVIDIA Inception Program, Member

Languages

English, Portuguese, French, German