Matthew Blasa

LinkedIn

Contractor

Aspire360

Lead Data Scientist (Consultant)

Data Scientist & ML Engineer Consultant 

The Home Depot

Senior Data Scientist

Brinks Home Security

Solutions Architect- Analytics Center of Excellence 

edison.ai

Ruffalo Noel Levitz

Senior Data Strategist

Data Strategist 

Carrefour

Lead Analytics Engineer

University of Southern California

Senior Data Analyst

J.P. Morgan Private Bank

Data Analyst

Bridging the gap between data scientists and the business.

Learn more: 
AI Product and Strategy Substack:  https://datalife360.substack.com/
Pragmatic Data Scientist: https://pragmaticdatascientist.substack.com/
Linkedin Learning: https://shorturl.at/hg0Bc

Strategy Consultant

Interested in a discovery session?
email: info@aspire360.ai or DM me for more information.

Neptune Labs, Inc.

Building The MLOps stack component for experiment tracking

Track, compare, and share your models in one place.

We want to give production ML teams the same level of control and confidence when building models as software developers have when shipping applications.

CEO/CTO & Founder 

deepsense.ai

I'm lucky to work among the smartest people in the world! We are building Seahorse, a leading-edge Apache Spark based visual big data analytics workbench for data scientists. 
If you're interested in joining the team, ping me.

 Co-founder & CTO

CodiLime - Creating Value

I was fortunate to meet Tomasz Kulakowski and together we shared an idea to build our own software company. 

Since 2011, we are working hard to realise Codilime's vision: to be the best IT service/solution provider, the first choice for big customers around the globe and a role-model employer. 

I'm always thinking about improving this vision and enhancing it.

CodiLime delivers solutions in important domains such as: security, networking and machine learning. Each is very important to mankind in its own special way: 
+ security in times of war (I believe the next war will be a cyberwar),
+ networking and communicating drives our world, people and companies are exchanging information, predominantly through networks
+ machine learning will change the roles that many people have today – in the future a lot of things will be automated and done by software.

Facebook

I was a member of the Facebook Infrastructure team. My main task was to redesign and optimise Facebook network devices' status collecting.

Software Engineer Intern

Google

I worked on the Google Analytics team. My main task was to improve and distribute data aggregation algorithms. It was a very successful and educational experience. Consequently, after the end of my internship I was informed that my code has been deployed into production.

Hey, I am Piotr, and I am the CEO of neptune.ai. 

Day to day, apart from running the company, I focus on the product side of things. Strategy, planning, ideation, getting deep into user needs and use cases. I really like it.

My path to ML started with software engineering. 

Always liked math and started programming when I was 7. In high school, I got into algorithmics and programming competitions and loved competing with the best. 

That got me into the best CS and Maths program in Poland, which, funny enough, today specializes in machine learning.

Did internships at Facebook and Google and was offered to stay in the Valley. But something about being a FAANG engineer didn’t feel right. I had this spark to do more. Build something myself.

So with a few of my friends from the algo days, we started Codilime, a software consultancy, and later a sister company, Deepsense.ai machine learning consultancy, where I was a CTO. 

When I came to the ML space from software engineering, I was surprised by the messy experimentation practices, lack of control over model building, and a missing ecosystem of tools to help people deliver models confidently.  

It was a stark contrast to the software development ecosystem, where you have mature tools for DevOps, observability, or orchestration to execute efficiently in production.

And then, one day, some ML engineers from Deepsense.ai came to me and showed me this tool for tracking experiments they built during a Kaggle competition (which we won btw). 

And I knew this could be big. 

Asked around, and everyone was struggling with managing experiments. I decided to spin it off as a VC-funded product company, and the rest is history.

Piotr Niedzwiedz

taplio

The Battle

Matthew Blasa

Piotr Niedzwiedz

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