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Matt Boubin

I am a Backend Engineer with seven years of industry experience building and maintaining data-driven systems. My background includes managing and delivering research and development projects, and I’m currently focused on developing scalable backend services and distributed architectures. I’m passionate about clean software design, modern DevOps practices, and contributing to open-source projects that advance robust web and mobile application infrastructure.

Find Me

Email: bubbinmj7@gmail.com

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Professional Experience

Senior Software Engineer

NYU Wagner

Nov 2021 - Present

  • Designs and maintains backend systems and APIs supporting data-driven applications and AI services used across university departments.
  • Architects and develops cloud-hosted infrastructure for internal platforms, integrating FastAPI, Django, PostgreSQL, and Docker to support scalable deployments.
  • Leads development of a custom generative AI chatbot using Vertex AI, GCP, and LangChain, enabling automated interactions and data retrieval for admissions workflows.
  • Modernizes legacy data pipelines and reporting processes by building ETL services and RESTful integrations, improving reliability and reducing maintenance overhead.
  • Collaborates with administrative teams to translate operational requirements into backend features, enhancing analytics, automation, and system observability.

Data Science Fellowship

New York City Data Science Academy - New York, New York

Jan 2021 - September 2021

  • Used R and Shiny visualization tools to develop an application analyze international economic data and provide recommendations for industry data collection, and provided suggestions to the OECD, and international government agency
  • Used Beautiful Soup and Scrapy to extract data from popular music vendors to analyze commerce trends, and provided suggestions to discogs for record sales.
  • Developed a machine learning model to make improvements to homes in order to increase their market value
  • Used Google Colab and YOLOv4 to classify crop field objects to improve existing precision agricultural image processing techniques for cropfield diagnostics

Data Engineer - Contractor

GE Appliances - Louisville, KY

July 2020 - April 2021

  • Developed prototypes of new appliance features including robotics, diagnostics, and data monitoring for one of the largest appliance manufacturers in the US
  • Used Support Vector Machines to diagnose known problems with appliance Electromagnetic interference generated by appliances to monitor appliance usage with 90% accuracy for known appliances
  • Contributed to three US patents held by GE Appliances, and presented insights to the CEO of GE Appliances quarterly

Electrical Engineer

D'Angelo Technologies - Dayton, Ohio

May 2018 - March 2020

  • Used machine learning algorithms to classify radio frequency signals for cabling diagnostics
  • Developed custom data visualization platform in Python to interpret sensor data
  • Wrote proposals to fund two R&D projects valued at $150,000 for the National Shipbuilding Research Program resulting in technology acquisition from shipyards and the US Navy
  • Implemented a data driven solution to shore power connector testing to replace existing, dangerous measurement protocol

Graduate Research Assitant

Miami University - Oxford, Ohio

January 2017 - May 2018

  • Developed machine learning diagnostic tools for the Miami University Power Electronics Laboratory
  • Contributed to a non invasive biomedical device prototype
  • Taught four undergraduate laboratory courses incluing Power Electronics, Embedded System Design, Computer Aided Experimentation, and Hardware Design
  • Published four peer reviewed papers

Information Technology Leadership Program - Intern

GE Aviation - Cincinnati, Ohio

May 2015 - August 2015

  • Developed a middleware dashboard to display server performance metrics to the middleware diagnostics team using SQL and C#
  • Helped to develop a strategy to prevent critical server outages that cost the business 5 Million dollars per hour

Research Intern

AFIT Autonomy and Navigation Technology Laboratory - WPAFB, Ohio

May 2014 - August 2014

  • Parsed UAV flight test data using Robot Operating System (ROS) and C++
  • Configured gyroscope sensors for UAV flight tests


Education

M.S. Software Engineering
NYU - Dec 2027
B.S. Electrical and Computer Engineering
Miami University - May 2018
Data Science Fellow
New York City Data Science Academy - September 2021


Introduction