Matt Rossman

Matt Rossman Email and Phone Number

AI Tooling Engineer @ Supabase
Worcester, MA, US
Matt Rossman's Location
Worcester, Massachusetts, United States, United States
Matt Rossman's Contact Details

Matt Rossman personal email

n/a
About Matt Rossman

I'm a UX Engineer specializing in 3D, XR, and the web. CS undergrad -> HCI grad. Fan of sharing knowledge, open-source software, and putting users first. Working towards a future where immersive tech is fun, flexible and safe.

Matt Rossman's Current Company Details
Supabase

Supabase

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AI Tooling Engineer
Worcester, MA, US
Website:
supabase.io
Employees:
166
Matt Rossman Work Experience Details
  • Supabase
    Ai Tooling Engineer
    Supabase
    Worcester, Ma, Us
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  • Hallway Tile
    Lead Ux Engineer
    Hallway Tile Jun 2022 - Present
    Building Hallway's web platform for avatar identity. Responsible for the design and development of our avatar marketplace and user profiles. Collaborating with artists to distribute optimized, high quality 3D assets. Talking with users to validate our decisions.
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  • Georgia Institute Of Technology
    Graduate Research Assistant
    Georgia Institute Of Technology Jan 2021 - May 2022
    GRA in the Augmented Environments Lab, integrating productivity tools in Hubs Cloud to support remote coworking in social VR.
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  • Paradowski Creative
    Immersive Engineer
    Paradowski Creative May 2021 - Aug 2021
    St Louis, Missouri, United States
    Developed client-facing demos of new features for Mozilla Hubs (open source web-based social VR platform) including visual effects and a voice-enabled conversational AI bot. I also overhauled the internal scene editor with a configurable component system, improving the team's code re-usability and scene maintainability.
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  • University Of Massachusetts Amherst
    Teaching Assistant
    University Of Massachusetts Amherst Sep 2019 - Dec 2019
    CS 397A Predictive Analytics with PythonIn my first TA position, I helped a class of 40 students without much or any CS background grow comfortable with programming in Python and the PyData stack. I spent 1-on-1 time with students in my office hours, made 100+ contributions on the class Piazza forum, and left detailed feedback on assignments. My goal was to provide students with intuitive and straightforward explanations to get them past the hurdles I experienced back when I was learning Python and the command line.
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  • The University Of Texas At Arlington
    Assistive Technology Research Intern
    The University Of Texas At Arlington Jun 2019 - Aug 2019
    Arlington, Tx
    As people age, falls can become a debilitating risk. What if caretakers could visually monitor an elderly patient's gait without actually being there, and without intrusive cameras that strip away privacy? This summer, my team proposed and prototyped a solution for ambient gait monitoring through 3D skeletal reconstruction, inferred from pressure patterns on a low cost smart floor.During this REU (Research Experience for Undergraduates), I worked with Python data analysis libraries to infer gait from raw, low resolution pressure readings. I collected a training set of synchronized Microsoft Kinect skeletal recordings and developed a model to infer skeletal motion from pressure data. These efforts turned into a research paper that was published in PETRA 2020.Tools: Xarray, Kinect v2, Plot.ly, Three.js
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  • Optum (Formerly Alere Wellbeing)
    Technology Development Program (Tdp) Intern
    Optum (Formerly Alere Wellbeing) May 2018 - Aug 2018
    Boston
    THE WHAT:I took a big, bloated, broken testing suite and made it faster to run and easier to extend.THE HOW:I started with the old testing framework which had grown to accommodate all of the product's domains. I salvaged the parts that were relevant to my team's domain (membership). I then redesigned the abstractions to fit in with the team's API patterns.To speed up testing, I changed the pipeline to populate and containerize the test database only once after the test suite is updated, rather than running this long process every single time the tests need to be executed.THE TOOLS:Docker, Spring Boot, Maven, Groovy, Jenkins
  • Town Of Andover
    Energy Research Intern
    Town Of Andover Jun 2017 - Aug 2017
    Andover, Ma
    THE WHAT:I developed a Python module for forecasting building resource usage (e.g. energy, water) based on sensor data and contextual information. This was to be used by the town of Andover, MA for detecting anomalous energy usage in their municipal buildings.THE HOW:I read lots of research papers on various machine learning methods for trend forecasting. I took their findings to build a random-forest model that best applies to the data logs I was working with. I used proven statistical methods to flag behavior as anomalous against predictions. I blogged the entire process.THE TOOLS:Anaconda, Pandas, Numpy, Scikit-learn, SciPy
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Matt Rossman Education Details

Frequently Asked Questions about Matt Rossman

What company does Matt Rossman work for?

Matt Rossman works for Supabase

What is Matt Rossman's role at the current company?

Matt Rossman's current role is AI Tooling Engineer.

What is Matt Rossman's email address?

Matt Rossman's email address is ma****@****ech.edu

What schools did Matt Rossman attend?

Matt Rossman attended Georgia Institute Of Technology, University Of Massachusetts, Amherst, Universidad Carlos Iii De Madrid, Northeastern University.

Who are Matt Rossman's colleagues?

Matt Rossman's colleagues are R Almeida, David Wilson, Alaister Young, Ivan Vasilov, Christopher Gwilliams, Jeniffer Kibiri, Jon Meyers.

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