We Help DS/ML Teams Build, Test, Deploy, & Scale Enterprise Machine Learning Solutions
Is your organization past the POC/pilot stage in AI adoption and working on scaling machine learning solutions?
Do you have dozens – perhaps hundreds – of ML models developed by data scientists, but not enough integrated into production applications and the broader business?
My name is Carlos Lara, Director of Data Science & Machine Learning Engineering, and Co-Founder of Gradient Group with Greg Coquillo from Amazon. Our mission is to help organizations capture maximum value from their ML models to optimize business KPIs and maximize ROI.
If you need help building, testing, deploying, and scaling your ML models/pipelines, click “Contact Us” below to get in touch and we will be happy to help you.
From Homeless To Director of Data Science & Machine Learning Engineering
My name is Carlos Lara, and it all started when I left graduate school in applied nuclear physics to start my first company.
Living in my car for months to conserve capital, I put all my energy and focus into developing software engineering skills. I still remember sleeping in parking lots and having police officers wake me up in the middle of the night with their flashlight.
Those days were tough, but I was determined to do whatever it took to make my dream become a reality.
Within 12 months of exponential growth and learning, I was helping my first enterprise client – Cinemark – as a senior software engineer specialized in mobile application development.
A few months later I decided to take my career to the next level by becoming an expert in artificial intelligence. I saw this is the future of planet Earth, and with my senior software engineering skills, I made the decision to help create this new world.
I had the blessing of being given the chance to create and lead the AI Innovation Center for a major consumer packaged goods (CPG) organization – my first enterprise AI client. Check out my enterprise case study for details on deliverables and results.
My next enterprise ML client – public billion-dollar on-demand staffing company TrueBlue – is where I learned how to truly scale and maximize the business value of machine learning solutions (case study here).
I now lead entire AI/ML projects (business strategy + technical implementation) with 7+ figure annualized ROI.
Our mission is to help clients capture maximum business value from their ML models/pipelines/solutions to optimize KPIs and maximize ROI.
Our vision is to accelerate the AI transformation of planet Earth.
Learn Gradient Group’s Enterprise ML Success Strategies
Our blog contains a mixture of enterprise ML business strategies, AWS ML technical tips, and more.