Tristan Hearn
Senior Specialist - Advanced Computing AI ML at Eaton
Beachwood, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolTristan Hearn is a research-driven software developer and Senior Specialist in Advanced Computing, AI/ML with 14+ years of experience applying computational applied mathematics to real-world problems at NASA and now Eaton. He holds a PhD in Applied Mathematics under Prof. Lothar Reichel and specializes in numerical linear algebra, regularization for discrete ill-posed problems, and scientific computing, bringing rigorous math to data science, signal processing, and embedded systems. Tristan has a track record of translating research into practical tools—from real-time webcam heart-rate detection and biomedical signal processing to a Python-Arduino command API for IoT and rapid prototyping. Comfortable across embedded firmware, real-time data pipelines, and ML workflows, he pairs deep theoretical expertise with hands-on open-source development. Based in Beachwood, Ohio, he also draws on a background in military intelligence and systems integration to deliver robust, mission-oriented solutions.
14 years of coding experience
17 years of employment as a software developer
PhD Applied Mathematics, PhD Applied Mathematics at Kent State UniversityMS Mathematics, MS Mathematics at Cleveland State University
Github Skills (27)
opencv10
python10
image-processing10
gcc10
sys10
compiler10
computer-vision10
embedded10
clib10
serial-communication10
arduino10
realtime9
servo-controller9
numpy9
digital-logic9
Programming languages (9)
Github contributions (5)
thearn/Python-Arduino-Command-API
Aug 2012 - Oct 2014
A Python library for communicating with Arduino microcontroller boards
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:94 commits, 6 comments, 4 issues in 2 years 3 months
Contributions summary:Tristan primarily contributed to the development of the Python library for communicating with Arduino microcontroller boards. Their work involved implementing and refactoring functions for core functionalities, including digital and analog I/O, servo control, software serial communication, and I2C support. Additionally, they made several code changes and improvements across multiple files to restructure the project, fix servo code and enhance example usability.
python-librarypythonserialarduinomicrocontroller
thearn/webcam-pulse-detector
Apr 2013 - Jun 2017
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:218 commits, 8 pushes, 2 comments in 4 years 3 months
Contributions summary:Tristan appears to be contributing to a real-time webcam-based heart rate detection application. Their commits primarily involve modifying Python code files. They are working on the core logic including assembly, processing, signal processing, and interface for capturing webcam data. The user implemented features related to face detection, image processing, and potentially data visualization for heart rate monitoring.
heart-ratepythonindividualwebcamheart
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