Managing the Office of AI & Data across research, engineering, and product development at a $MM bootstrapped Canadian Stealth firm. Driving critically needed innovation in immigration process reform. Creating the next league of international entrepreneurs.

Published by the NVIDIA Deep Learning Institute for the advancement of industry education, specifically in AI enablement and Greenfield ML Platform R&D

Industry Advisor to Minister Champagne on various policy files including the AI in Data Act (AIDA-Bill C-27), Canada's participation in AI discussions with the Council of Europe, and Generative AI's impact on copyright legislature.

Scientific Board Advisor to AiMining, a publicly traded Artificial Intelligence R&D institution. • Chiefly advising critical AI/ML enterprise management process development for safe, reliable, and regulatory conscious public releases of Generative AI systems.

Advising the CEO and senior leadership staff of a DTC entertainment analytics firm on executive operations management, product runway development, and deep-tech engineering initiatives.

Led a GenAI PaaS firm from funding to $MM private M&A exit. Now serving as a continuing advisor to its parent media-technology holding company.Critically developed IP and commercial operations capabilities in the Mixed-Media GenAI market that were rebuffed by Carta, a global ventures due-diligence leader, to hold a business enterprise value (BEV) of $52MM USD. Transposed AI provides technology, and partners with market-leading labels and talent agencies in Media and Music.

Founder-CEO & Head of ML at Transposed AI, a global leader in Generative AI valued at $52MM USD by Carta™. We're pioneering the future of style-transferred Vocal Synthesis (Voice Conversion) and revolutionizing Entertainment Streaming & Production (Music).• Design fully greenfield, SOX compliant, and 100x scalable Enterprise ML SaaS Platforms to serve high-quality Voice Conversion (VC) in real-time through novel GAN design; enabling rapid media production with AI for entertainment labels, film & TV studios, and independent artists. • Guided strategy that resulted in over 315,000 customer inference requests across 7000+ users in <6 months, with projected growth to 1.06 million requests by FY24’. • Reduced inference and data streaming cost-per-run by 198.5% through pioneering new GPU-splitting techniques across AWS and NVIDIA SuperPod instances for on-demand training & inference platforms. Automated model validation, bias correction, and vocal isolation and conversion with naturalness (N-MOS) and similarity (S-MOS) discrimination.

Aided in the creation of ASCAP's "AI Principles" framework.

Engineering & Strategy Leader at Canada's leading private AI Research Institution (#3 worldwide).• Developed and implemented the next generation of AI Products with guardrails for safe, ethical, and effective usage of generative neural networks in Fortune 500 enterprises.• Implemented diverse AI product engineering practices; managing global audit inquiries, technology delivery, and regulatory compliance of edge technology across RBC and its subsidiaries.• Primary MLOps and Data Engineering leader, guiding hybrid-cloud implementation of $10-100M+ NVIDIA solutions and human-centered design practices for production ML pipeline solutions. • Served as RBC's lead policy advisor to the Canadian Minister of Innovation, Science, and Industry during industry consultation periods regarding AI, including the AI in Data Act (AIDA-Bill C-27). Asked to continue advising Minister Champagne's office externally to RBC following the engagement.Role reported into a special ESG of Borealis AI's parent org, the Royal Bank of Canada.

Connected to Borealis AI Role

Focused on leadership of initiative solutions architecture in the private/public financial institution services (FIS) and real-time AI application cloud sector; designing, implementing, and supporting distributed cloud compute systems at RBC. • Led the Borealis AI Cloud infrastructure product stream, including general GPU compute architecture and ML Platform design and vendor management - leveraging Airflow, AWS Lambda, Fiddler, and Weights & Biases while deploying and maintaining NVIDIA A100 DGX clusters on-premises• Managed Senior Developer staff while responsible for product delivery, project scoping, and hiring approval. • Successfully closed platform resiliency gaps and policy failures, accomplishing a more than 80% reduction in crucial security non-compliance across critical cloud infrastructure.

Month long consulting engagement for firm-wide due-diligence in AI market prospects, advising the VC’s EIRs. Done through Tegus Consulting

Freelance Consultant advising Artificial Intelligence and Cloud Technology market segments for VC firms and Fortune 500 M&A silos. • Notable clients include Redpoint Ventures and Hudson Hill Capital.

The Iron Otis is a non-profit news organization that aims to educate and inform not only the electorate body of the University of Ottawa, but the future innovators of tomorrow that they will become.

Worked for a NATO Top 10 Innovator, involved as an architect to multiple AIOps systems for real-time SECRET classified GeoSat data ingestion, ETL, and inference for critical Allied naval intelligence alert systems.

Focusing on web parsing in noisy non-Markovian environments with Deep-Q neural networks. Responsible for setting processing strategies as well as determining overall project scope.• Automated, and increased efficiency of web-crawler to internal database data-streams for an edu-tech SaaS product, saving an ~$145,000/year through manual task cost elimination. Developed data-ingress processes and assisted with Bayesian algorithm refinement.• Utilized Tensorflow & Pandas libraries to aggregate data accordingly prior to reinforced learning on AWS clusters. Integrated LSTM cells to solve vanishing gradient problems during backpropagation cycles.