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Rehinged

The Team

Our team consists of best in class data scientists, machine learning engineers, mathematicians, software engineers and marketers.

About Rehinged

Our Story

Created by an early-stage VC fund, Rehinged was designed to perform modern market research. This involves processing massive data sets to apply machine learning and artificial intelligence to understand how trends, technologies and companies are influencing markets.

The technology we use to analyze blockchain markets, AI & ML and all of the other technology that our clients invest in can be applied to any type of market.

Contact Us

Meet The Team

Our People

Briliant minds behind our platform that make it a reality.

Jim Sagar
CEO & Founder
Jim an entrepreneur with expertise in AI for modern market research, market intelligence and strategic marketing.
Francis Onate
Senior Data Scientist
Francis is an experienced data scientist with demonstrated success in IT and services.
Olivier Izacard, PhD
Senior Data Scientist
Olivier is a Computational & Theoretical Physicist with a PhD, skilled in data visualization, software development & mathematics.
Matti Kakkori
Head of Product
Matti is a senior AI and SaaS product developer & manager.
William Kilpatrick
Senior Data Scientist
William is a pioneering data scientist with 15 years of experience in finance and enterprise software.
Ryan Ly
Data Scientist
Ryan is obtaining his masters in applied mathematics and has 3 years experience with data pipelines and machine learning.
Stephen Kowalczyk
Senior Engineer
Stephen is a senior software engineer with 20+ years of experience designing and building enterprise applications.
Mustafa Khan
Engineer
Mustafa is a full-stack engineer who designs and implements RESTful web services with deployment to the cloud.
Jonathan Narvaez
Data Scientist – Consultant
Jonathan is certified in algorithmic trading and is experienced in financial engineering and quantitative analysis.
Alejandro Riveros
Data Engineer – Consultant
Alejandro is a full stack developer with 10+ years of experience in the development & maintenance of software products.
Jules Malin
Data Science – Advisor
Jules leads a team of analysts and data scientists supporting multiple departments and teams at GoPro.
Patrick Thomas
Data Science - Advisor
Results-oriented leader with deep social, consumer tech, and marketing software experience.
Andrew Engel
Data Science – Advisor
Andrew is a customer-facing data scientist at DataRobot and leads the technical engagement to ensure customer success.
Ilknur Egilmez, PhD
Former Intern / Data Scientist ’19
Ilknur has a PhD in Mathematics and focuses on data science, machine learning and statistical modeling.
Van Coykendall
Former Intern – Summer ’19
Van is completing his undergraduate in Computer Science and Electrical Engineering at the Massachusetts Institute of Technology.
Ashley Chen
Former Intern – Summer ’19
Ashley is completing her undergraduate in Cognitive Science at the University of California San Diego.
Shraddha Masuti
Former Intern – Spring ’19
Shraddha is a critical thinker with expertise in handling, modeling, analyzing, and processing complex data using SQL, R, and Python.
Ketul Patel
Former Intern – Spring ’19
Ketul is a Management Information System (MIS) graduate student specializing in Data Science focusing on Deep Learning.
Louiegi Baclig
Former Intern – Spring ’19
Louiegi is completing his BS in Business Management at SDSU with emphasis in Entrepreneurship.
Namratha Prabhu
Former Intern – Winter ’18
Namratha is a completing her Masters of Science in Computer Science and is an experienced web and software developer.
Matthew Salazar
Our First Intern – Summer ’18
Matthew is completing his undergraduate in Mathematics and Computer Science at Cornell University.

Parent Company

Hinge Capital

H//NGE Capital invests in high technology companies, leveraging our new, modern venture platform that supports the most promising founders in high-growth markets. Whether it’s seed, pre-seed, friends and family, angel, post-seed or anything in between, we want in early. We want to put our time, energy and capital behind courageous founders solving hard technological problems.