Experience

University of Michigan Robotics Department

• United States
• Higher Education
• 1 - 100 Employee

• Research Assistant, Lab for Progress

  • Jan 2023 - Present

  - Collected video sequences of the Digit robot moving with a variety of occlusions. - Trained a YoloV8 segmentation network on simulated data to segment the Digit robot in real-world images. - Published a workshop paper on Counter-Hypothetical Belief Propagation. - Collected video sequences of the Digit robot moving with a variety of occlusions. - Trained a YoloV8 segmentation network on simulated data to segment the Digit robot in real-world images. - Published a workshop paper on Counter-Hypothetical Belief Propagation.



Motion Grazer AI

• Computer Vision Developer Intern

  • Jan 2022 - Aug 2022

  - Worked on developing computer vision algorithms for measuring health-factors of pigs with a 3D camera. - Improved algorithm for pig body-size estimation by filtering noise in cross-sections of the back of the pigs. - Explored and visualized the effects of posture and body-point estimate variation on algorithm results. - Developed a neural network using Keras that could estimate pig body-size regardless of posture. - Updated and tested a pig body-part detection neural network and… Show more - Worked on developing computer vision algorithms for measuring health-factors of pigs with a 3D camera. - Improved algorithm for pig body-size estimation by filtering noise in cross-sections of the back of the pigs. - Explored and visualized the effects of posture and body-point estimate variation on algorithm results. - Developed a neural network using Keras that could estimate pig body-size regardless of posture. - Updated and tested a pig body-part detection neural network and setup the network to run on Google Cloud Services. Show less - Worked on developing computer vision algorithms for measuring health-factors of pigs with a 3D camera. - Improved algorithm for pig body-size estimation by filtering noise in cross-sections of the back of the pigs. - Explored and visualized the effects of posture and body-point estimate variation on algorithm results. - Developed a neural network using Keras that could estimate pig body-size regardless of posture. - Updated and tested a pig body-part detection neural network and… Show more - Worked on developing computer vision algorithms for measuring health-factors of pigs with a 3D camera. - Improved algorithm for pig body-size estimation by filtering noise in cross-sections of the back of the pigs. - Explored and visualized the effects of posture and body-point estimate variation on algorithm results. - Developed a neural network using Keras that could estimate pig body-size regardless of posture. - Updated and tested a pig body-part detection neural network and setup the network to run on Google Cloud Services. Show less



Michigan State University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant, 3D Vision Lab

  • Sep 2021 - Dec 2021

  - Developed a desktop application for hen behavior labeling using OpenCV and Python. - Designed a methodology for quickly labeling hen behavior in large amounts of video data. - Proposed neural network architectures for behavior recognition.

• Data Science Intern

  • Sep 2021 - Dec 2021

  - Worked on a team of 4 students for MSU's senior capstone course. - Designed and implemented an insurance plan recommender web application for Delta Dental. - Produced k-means cluster models from customer data and software for mapping new customer data to clusters.



GENISAMA LLC

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 1 - 100 Employee

• Engineering Technician

  • May 2018 - Oct 2021

  - Researched Developmental Networks (DNs) and their general-purpose applications in computer vision (stereo vision) and robotics. - Implemented a motivation system, modeled after serotonin and dopamine, and added real-time supervision and reinforcement capabilities to our visual navigation system. - Developed an experimental setup to demonstrate the DN's ability to integrate monocular and binocular visual information and to learn through reinforcement, direct supervision, and… Show more - Researched Developmental Networks (DNs) and their general-purpose applications in computer vision (stereo vision) and robotics. - Implemented a motivation system, modeled after serotonin and dopamine, and added real-time supervision and reinforcement capabilities to our visual navigation system. - Developed an experimental setup to demonstrate the DN's ability to integrate monocular and binocular visual information and to learn through reinforcement, direct supervision, and unsupervised practice. - Published and presented this work at the 2021 International Conference on Development and Learning. - Converted a ride-on RC car into an AI system for learning to navigate walkways using only stereovision, trained through motor-supervision, reinforcement, and practice. Show less - Researched Developmental Networks (DNs) and their general-purpose applications in computer vision (stereo vision) and robotics. - Implemented a motivation system, modeled after serotonin and dopamine, and added real-time supervision and reinforcement capabilities to our visual navigation system. - Developed an experimental setup to demonstrate the DN's ability to integrate monocular and binocular visual information and to learn through reinforcement, direct supervision, and… Show more - Researched Developmental Networks (DNs) and their general-purpose applications in computer vision (stereo vision) and robotics. - Implemented a motivation system, modeled after serotonin and dopamine, and added real-time supervision and reinforcement capabilities to our visual navigation system. - Developed an experimental setup to demonstrate the DN's ability to integrate monocular and binocular visual information and to learn through reinforcement, direct supervision, and unsupervised practice. - Published and presented this work at the 2021 International Conference on Development and Learning. - Converted a ride-on RC car into an AI system for learning to navigate walkways using only stereovision, trained through motor-supervision, reinforcement, and practice. Show less

• Professorial Research Assistant, Embodied Intelligence Lab

  • Sep 2018 - May 2020

  - Researched Developmental Networks and their applications in computer stereo vision. - Developed a real-time navigation and stereo-disparity detection application on Android meant to help the visually impaired navigate their surroundings. - Tested the performance in natural settings and published/presented this work at the 2020 International Conference for Development and Learning and Epigenetic Robotics. - Researched Developmental Networks and their applications in computer stereo vision. - Developed a real-time navigation and stereo-disparity detection application on Android meant to help the visually impaired navigate their surroundings. - Tested the performance in natural settings and published/presented this work at the 2020 International Conference for Development and Learning and Epigenetic Robotics.



Facility for Rare Isotope Beams (FRIB)

• United States
• Research
• 200 - 300 Employee

• Student Info Tech Assistant

  • Jun 2018 - Apr 2019

  - Developed SharePoint applications and workflows. - Provided SharePoint site assistance to customers. - Developed SharePoint applications and workflows. - Provided SharePoint site assistance to customers.