Chief Technology Officer

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.

SaaS Compliance: Navigating the Legal Landscape

Louis M2 years ago2 years ago08 mins

Discover how SaaS companies can navigate the complex legal landscape and comply with regulations. Learn the legal checklist and key to business success.

How to Use Transfer Learning to Leverage Pre-trained Models in Your Projects

Louis M2 years ago2 years ago029 mins

How to Use Transfer Learning to Leverage Pre-trained Models in Your Projects This article overviews how to use transfer learning effectively in your projects by leveraging pre-trained models. We will cover topics such as understanding pre-trained models, benefits of transfer learning, steps to implement transfer learning in your project, best practices for using transfer learning…

Machine Learning: How to normalize continuous data for Dummies

Louis M2 years ago1 year ago06 mins

Learn the importance of normalization in #MachineLearning! Discover techniques & step-by-step guide to normalize continuous data for better accuracy.

How to Deploy Your Machine Learning Models in Production Environments

Louis M2 years ago2 years ago05 mins

Learn how to smoothly deploy your machine learning models in production environments. Choose the right deployment method, prepare your environment, and continuo

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

RAG and Fine-Tuning Guide

6 Data Processing Steps for RAG: Precision and Performance

RAG vs. Fine-Tuning: Which One Suits Your LLM?

Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

RAG vs Fine-Tuning for LLMs: A Comprehensive Guide with Examples

Louis M

SaaS Compliance: Navigating the Legal Landscape

How to Use Transfer Learning to Leverage Pre-trained Models in Your Projects

Machine Learning: How to normalize continuous data for Dummies

How to Deploy Your Machine Learning Models in Production Environments

Louis M

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