Louis M

Louis is a seasoned technology executive with over 20+ years of experience in leading and managing teams, building products, and implementing open-source technologies. He is certified in building Crypto currencies applications and has a proven track record of effectively leading teams of over 100+ individuals, including experience leading through a management layer (manager of managers). Louis possesses vital emotional intelligence, allowing him to lead a diverse group of engineers and managers at varying stages of their careers. He has experience leading teams through complex compliance certifications, such as FedRAMP, PCI, SOC2, ISMAP & HIPAA. He has 10+ years of security experience dealing with web systems, Cloud, SaaS, compliance, corp IT, infrastructure, and embedded devices. Louis has a solid understanding of cross-functional engineering organizations and significant experience building diverse and inclusive teams. He has superb communication skills and can articulate a compelling security vision. Most recently, Louis served as the CTO of Metabolicliving, where he led the engineering team to become a high-performing, on-time delivery cross-functional team and collaborated with Executive Leadership to develop & manage product strategy, roadmaps, and technical execution plans. Before that, he served as the CTO of Burnalong, a health and fitness tech startup. He single-handedly built the AWS infrastructure, on-site cross-functional engineering team, remote developers, and QA. He also created an internship program to cultivate new talent and grow the technical organization.

When Algorithms Go Wrong: Analyzing the Impact of Poorly Trained Machine Learning Models

When Algorithms Go Wrong: Analyzing the Impact of Poorly Trained Machine Learning Models

Discover the consequences of poorly trained machine learning models. Explore algorithmic mishaps, their causes, and the lessons for the future. By Louis M.

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The Role of Human Oversight in Preventing Machine Learning Mishaps

The Role of Human Oversight in Preventing Machine Learning Mishaps

Discover the crucial role of human oversight in preventing machine learning mishaps. Learn how humans ensure the ethical and safe actions of AI systems.

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When AI Bites Back: The Risks and Remedies of Machine Learning Failure

When AI Bites Back: The Risks and Remedies of Machine Learning Failure

Discover the perils of machine learning failure and the hidden risks of AI. Learn how to mitigate adverse outcomes in this eye-opening article.

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Beyond Accuracy: Assessing the Real-World Impact of Machine Learning Failures

Beyond Accuracy: Assessing the Real-World Impact of Machine Learning Failures

Discover the Hidden Dangers and True Costs of Machine Learning Failures. Assess the Real-World Impact and implications of AI mistakes and build accountable syst

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