John E. S.

John E. S.

PhD Candidate & Graduate Research Assistant @ University of Nebraska-Lincoln

About

John builds systems where machine learning, environmental science, and advanced imaging operate as a single, coherent intelligence layer. He is the architect of GRIME AI, a platform that unifies ecohydrology, phenology, and high‑performance image processing into deterministic, reproducible pipelines. Although its initial deployments centered on hydrological and phenological analysis, the architecture was designed from the outset to be extensible, supporting new scientific domains, new sensors, and new model classes without restructuring the core.His background spans computer vision, hydrology, robotics, embedded intelligence, and large‑scale software design. He has delivered real‑time, production‑grade AI systems across sectors including environmental monitoring, aerospace, and maritime operations. This breadth allows him to translate complex scientific and engineering problems into deployable, scalable systems. His work integrates scientific rigor with engineering pragmatism, enabling organizations to move from fragmented tools to cohesive, intelligence‑driven platforms. Institutions have sought him out specifically for his applied AI, computer vision, and software engineering expertise.John now focuses on platform strategy, long‑horizon architecture, and guiding teams that transform domain expertise into actionable intelligence. His experience is particularly suited to early‑stage and growth‑stage environments where foundational decisions determine long‑term capability, extensibility, and scientific validity. He brings a global perspective and a disciplined approach to distinguishing between transient trends and technologies that can scale.He operates as the kind of technical leader companies rely on at the beginning: someone who has been in the trenches, understands the full stack, and can architect systems built to last.

Country

United States

City

Raleigh-Durham-Chapel Hill Area

Industry

Computer Software

Skill

Technical Trainers, Technical Training, Multitasking, Training Delivery, Presentation Skills, Vision Science, Start-up Leadership, Start-up Ventures, Stereo Vision, Optics & Lighting, Camera Calibration, Pycharm, PyQt, NVIDIA, MODFLOW, Groundwater, Groundwater Modeling, Agile Project Management, Research Skills, Photogrammetry

Experience

University of Nebraska-Lincoln

PhD Candidate & Graduate Research Assistant

University of Nebraska-Lincoln

LinkedIn
2025-12 - Present · 10 mos

Lincoln, Nebraska, United States

University of Nebraska-Lincoln

PhD Student & Graduate Research Assistant

University of Nebraska-Lincoln

LinkedIn
2021-8 - Present · 5 yrs 2 mos

PhD Student - Fully funded Applying Remote Sensing, Machine Learning, Image Processing, Machine Vision, Data Science, and Software Engineering expertise to the study of natural resources with an emphasis on groundwater and surface water hydrology. Products & Deliverables ================ 1. GRIME-AI Fixed-mount cameras offer a practical solution for environmental monitoring, enabling direct measurements and observations of ecohydrological processes. Their widespread availability contrasts with the limited control over satellite launches. Despite the vast collection of environmental images, many remain underutilized. GRIME-AI enhances the scientific application of these images through advanced image processing and machine learning techniques, focusing on ecohydrological research. 2. Content for federal agency presentation to Congressional appropriations committee Grant Awards ========= 1. Cyberinfrastructure and community to leverage ground-based imagery in ecohydrological studies https://www.nsf.gov/awardsearch/showAward?AWD_ID=2411065&HistoricalAwards=false Sponsor: National Science Foundation (NSF) Total Amount: $599,801.00 2. Advancing image-based techniques for stream gage applications Sponsor: USGS Total Amount: $271,000 Invited Talks ======== Gilmore, T. E., M. Harner, J. Stranzl*, J. Bajelan, C. Terry, K. Chapman, P. Guggilla*, M. Smith, M. Wells, A. Mittelstet. GRIME-AI: Open-source Software for Ecohydrological Science and Education using Ground-based Time-lapse Imagery (invited talk). Water Observing Technology Forum. Tuscaloosa, AL. April 23, 2024. Collaborations ========== 1. International collaboration between University of Nebraska-Lincoln and Tecnológico de Monterrey. Mentoring undergrad and grad students in software engineering, computer vision, and machine learning disciplines. 2. https://gaugecam.org/2023/08/16/itesm-capstone-collaboration-kola-data-portal/

Blade Vision Systems, LLC

Founder

Blade Vision Systems, LLC

LinkedIn
2009-9 - Present · 17 yrs 1 mo

Holly Springs, NC

Founded with the purpose of developing solutions for industries ready to embrace Computer Vision and Machine Learning. Our experience spans startups to publicly traded companies across numerous vertical markets and continents. Our mission... to be visionaries in how software and products should be developed to ensure the most intuitive and comprehensive solution. Projects * U-Net: Convolutional Networks for Biomedical Image Segmentation * Homogenization Methods for 3D Metal Printing * Machine Learning to Detect Delamination in Memory Devices using Acoustic Tomography Imaging * Hyperspectral Imaging (Spectral Scanning) * Random Forest Classifiers Deep Learning/Machine Learning/Machine Vision, 3D Printing Startups, Image Processing, Signal Processing, Color Science, Data Visualization, Algorithm Development, Embedded Systems, Low-level Hardware Interface and Integration, Sensor Integration, Data Transfer and Analysis, Software Commercialization, Raspberry Pi 2 & 3, Beaglebone Black, Arduino, PandaBoard, Atmel, Linux, Windows, Embedded Systems, Firmware Development, Application Development, Communication Protocols, C/C++, C#, OpenCV, Python, Tensorflow, Matlab, Technical Writing, Forensic Video & Photo Analysis

TARGAN Inc.

Sr. Computer Vision Manager/Lead Principal Computer Vision Engineer

TARGAN Inc.

LinkedIn
2022-4 - 2024-9 · 2 yrs 6 mos

Raleigh-Durham-Chapel Hill Area

Developed a high frame rate machine learning enabled computer vision targeting system to land a vaccine on a specific location on a "fast" moving chick that is just hours hatched. * Machine Learning * Machine/Computer Vision * Image & Signal Processing * 2D, 3D, and Stereo vision * Software Engineering * 3D Point Cloud Firmware Development * Automation * Life Sciences * IP Generation * NVIDIA Jetson, LMI Gocator, Basler, Allied Vision, Python, C/C++, Visual Studio, PyCharm, PyQT, VS Code, DevOps, Azure, Edge

CIMTEC Automation

Senior Vision Engineer - 2D/3D/AI Vision | Robotics | Software

CIMTEC Automation

LinkedIn
2013-1 - 2022-4 · 9 yrs 4 mos

Raleigh, NC

Senior Vision Engineer within the CEP Division of CIMTEC Automation supplying 2D/3D/AI vision solutions (smart cameras, optics, lighting, custom software) from concept to implementation and robotics programming, integration and troubleshooting. Highlights • Systems and Project Engineer developing robotic and vision automation solutions • 3D vision system prototype which secured a $914,000 purchase by a major tire manufacturer • 3D vision system for nuclear fuel inspection • Vision systems that reduced manufacturing scrap costs • Novel solutions by re-purposing existing vision algorithms • Manufacturer Certified Instructor: - Cognex Machine Vision (Certified to award CEUs) - Epson SCARA & 6-axis Robot Programming and Repair - Epson SPEL+ Programming - Universal Robots Programming - LMI Technologies 3D Vision Programming System Architecture & System Integration, Machine Vision Quality Control Solutions, Machine Vision Design Concepts/Cameras/Smart cameras/Algorithms/Custom Software, Industrial Automation, SPC, Process Control Applications, 3D Laser Measurement, Image Processing, Pattern Recognition, Cognex (In-Sight and DS cameras), LMI Technologies (Gocator), SICK, Robotics, Halcon, Kinect for Windows, Metrology, CCS, Advanced Illumination, SmartVision, Visual Studio (C/C++/C#/VB), QT, OpenCV, MATLAB, open source Industries: Nuclear, Automotive, Rail, Aerospace, Packaging, Medical Supplies, Food & Beverage,...

Trio Labs, Inc.

Senior System Engineer (Consultant)

Trio Labs, Inc.

LinkedIn
2016-1 - 2020-12 · 5 yrs

Durham, North Carolina, United States

Start-up venture developing a ground up patent-pending 3D metal printing system using a Resin Infused Powder Lithography (RIPL) process to produce precision metal parts with unmatched fine resolution and low cost focusing on medical device manufacturing.

iRobot

Senior Software Engineer

iRobot

LinkedIn
2010-6 - 2012-12 · 2 yrs 7 mos

Durham, NC

Highlight: Reduced manufacturing costs by an estimated $247,000 (min) per year by developing a software tool to perform data analysis on critical system and sub-system functions. Design/Program device device drivers, state machines, multi-threaded apps and automated data analysis tools for underwater autonomous vehicles. Technical lead on Continuous Process Improvement Team. C/C++, MATLAB, python, Eclipse, Subversion, Linux(Ubuntu, RedHat, Fedora), DOORS, Sharepoint, Windchill. Processors: TT8 (w/68332), ATMEL AVR Microcontrollers Sensors Back scatter, Fluorometers, Dissolved Oxygen, Conductivity, Temperature & Depth, Photosynthetic Active Radiation, Radiological Isotope Identification, Data Compression Algorithms, Iridium Satellite Network, Data Visualization

Loyalese, Inc.

Technical Project Manager

Loyalese, Inc.

2010-1 - 2010-6 · 6 mos

Cary, NC

Affiliated marketing and e-commerce customer rewards program

Labroots

Labroots Moderator

Labroots

LinkedIn
2009 - 2010 · 1 yr
Centice Corporation

Senior Software Engineer

Centice Corporation

2006-4 - 2009-1 · 2 yrs 10 mos

Morrisville, NC

X-Rite

Principal Software Engineer

X-Rite

LinkedIn
1994-5 - 2006 · 11 yrs

Research Triangle Park, NC

Employed by GretagMacbeth who was purchased by X-Rite. Design of quality control and color formulation software for textile, coatings, plastics, automotive, and all other industries where color is integral to their product.

Education

University of Nebraska-Lincoln

University of Nebraska-Lincoln

LinkedIn

Natural Resources (Hydrology)

2021-8 - Present · 5 yrs 2 mos
Manhattan University

Manhattan University

LinkedIn

Computer Science

1981 - 1985 · 4 yrs

Additional 2 1/2 years of studies towards B.S. in Chemical Engineering

John E. S.'s Contact Information

Email

******@***.com

Phone

(**) *** ****

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