As a Co-Founder at Coolant, a pioneering climate tech startup, I spearhead the software engineering efforts to address critical environmental challenges through innovative technology. My role is at the intersection of environmental science and advanced computing, focusing on developing solutions that significantly impact forest restoration and carbon sequestration efforts globally.Key Achievements:- Developed a cutting-edge pipeline for generating 3D models of forest restoration sites, leveraging the latest in computer vision and spatial analysis to provide accurate and detailed insights into restoration efforts.- Pioneered machine learning models for tree segmentation and classification within these 3D models, enabling precise identification and analysis of various trees across vast landscapes.- Implemented a novel approach to carbon measurement, using advanced algorithms to estimate the carbon stock within trees.- Collaborated closely with a team of engineers and reforestation site managers, fostering a multidisciplinary environment where technology and environmental stewardship converge to create scalable, impactful solutions.- Commercially US Licensed Remote Drone Pilot

- Developing an Unreal Engine Plugin that imports a Minecraft world into Unreal Engine- Integrated multiple .mca parsers libraries to extract necessary data- Designed an easy to use interface using Unreal Engine's Editor Utility Widgets- Built a custom World Partition System for the imported Minecraft world- Built a system to organize all of the Minecraft block types along with their corresponding Meshes and Materials

- Developed software to autonomously guide a camera toward a detected face, using a robot model built with an XArm 5 or XArm 7 model with camera attached- Built an Python Extension in Nvidia's Isaac Sim which solves kinematic equations to move the XArm to the desired position- With the OpenCV and RealSense Python libraries, designed a Computer Vision algorithm to calculate a faces position relative to the camera- Software used for Experimental and Educational purposes at college level- Github Repo: https://github.com/MatthewDZane/XArmFollowTarget

- Developed an Unreal Engine 5 plugin for IOS Camera Access and QRCode scanning- Utilizes both the IOS AVFoundation library in Obj-C and the C++ Unreal Engine- Published on the Unreal Engine Marketplace: https://www.unrealengine.com/marketplace/en-US/product/ios-qr-code-reader

- Implemented Cesium Earth, Multiplayer, and UX for the Network Visualization System in Unreal Engine 5 (https://github.com/MatthewDZane/CesiumNetBoxVisualization) - Credited at Unreal Fest 2022 (https://www.youtube.com/watch?v=G4P6cc3vq7I&t=1442s) - Optimizing Multi-Body Physics Simulation speeds with C++ - Wrote libraries to parse JSONs and simplify Rest API interaction - Designed G2 API Plugin for other groups using the G2 Database - Maintaining the Netbox Database and application interaction with the database, through the RESTful API - Integrating HoloLens into the Network Visualization Application - Implemented UE4 QR Code recognition plugin for desktop and HoloLens with OpenCV in C++ - Wrote multithreaded functions for HoloLens and Rest API functions to increase framerate of application in C++ - Upgrading project from Unreal Engine 4 to Unreal Engine 5- Modified Netbox-Agent python plugin to update Netbox data (https://github.com/MatthewDZane/netbox-agent) - Deployed modifying Netbox-Agent plugin to all nodes in Kubernetes namespace - Fixed the Netbox QR Code Plugin to work in v3.2.7 and added a Location Page (https://github.com/MatthewDZane/netbox-qrcode)- Designed and prototyped multiplayer system using the Redpoint EOS Subsystem

- Internship in support of research into Extended Reality, specifically in the Visualization of Network Meta Data - Designed an Interface in Unreal Engine 4, which uses the G2 Rest API to access, display, and modify a Large and Realtime Datasets.- Using C++, Created a Multi-body physics simulation to achieve an interactive and visual representation

- Developed tools in Python to autofill relevant metadata fields from file headers and properties (format, file size, GPS location, time of collection...)- Streamlined Datacite DOI minting and record updating, through generating xml files from metadata- Automated HeidiSQL error checking and tagging- Automated Google Cloud file size and naming schema checking - Automated the entering of Archeology Project metadata in a HeidiSQL database via Surveys and Python/SQL scripts.- Utilized many REST API to automate many of these operations - Used Microsoft Access and Visual Basic, created a form, which enforces data entry requirements, for Project Contributors to enter their Project Metadata

XR Hackathon - May 3-5, 2019- Created a VR rhythm style game, called ADDR – Beats and Cats, with distracted dancing cats- Competition Winners- Developed backend of game using C# and Unity/VR based APIJapanese Student Association (JSA) Staff- Plan and run club events that cater to Japanese students, as well as students interested in Japanese culture - Host Language Table, a weekly event where students can practice Japanese or English, while meeting new people and learning about American and Japanese culture- Developing a Family (先輩・後輩) System, to encourage more personal 1-on-1 connections between club members.

- In PHP, designing/managing MySQL database to implement annotation functionality to 3D scan viewer.- Created a REST API to allow the front end to read/write to the database.- Helped implement the MySQL interactions within the Anthropology Departments 3D Potree Scan Viewer to update how notes and annotations are stored/loaded.- Implemented an Unreal Engine 4 prototype that uses a MySQL database to load, display, and save annotations.

- Academic Internship involving students from multiple backgrounds experimenting in software development with Unreal Engine 4- Used the G2 Network REST API to access the network's Node and Flow metadata- Designed a Visualization System, which procedurally generates Models to convey important information about the metadata at a glance- Implemented a Multi-Body Forces System to organize the data, according to certain parameters- Created an Interface which allows the user to view the network in an Abstract and Explicit (data written out) form

- Tested the HR Alumni Service Portal and Employee Service Center- Uncovered and helped fix over 30 bugs- Automated test cases via the Selenium, Glide and ServiceNow testing framework, in Java- Learned how to effectively work remotely in a scrum teamServiceNow Intern Hackathon- Created an application that uses a Natural Language Processing library to analyze chat conversations- Made with Python- Computes a User Sentiment Score, which details how positive or negative emotionally the conversation was- Created a LineTextToJson to convert text conversations from Line to the JSON format that Entanglement accepts