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Hello everyone, my name is Gunnar, I am a motivated, high-energy software engineer, who strives with independent thought, a hunger for knowledge, and generosity for others. As an engineering I focus on the following fields:
Feel free to browse through a portfolio of my work!
I started publishing the field of robotic surgery since undergrad, focusing on robotic surgical trianing, and how to improve such training for surgeons.
The following work is my thesis which is a pathway towards third party development for machine learning modeling for comptuer vison applications in robotic surgery.
In Virginia Tech's Mind Music Machine Lab, I am studied and synthesizing emotions to be expressed in humanoid robots, under the Social Robots' Emotive Factors project, while supervising undergraduates to publish.
Part of a community outreach program, I teach undergraduates how to code humanoid robots to perform a theater performance, while showcasing our work to local Title 1 Schools in SW Virginia.
The TernausNet ML architecture, has been used to classify robotic surgery parts. My talk at the 2021 JSES, focuses on increasing the accuracy of TernausNet using a 40k neuphrectomy image dataset from Imperial College of London.
As part of my graduate computer vision class I had to focus on hue, saturation, and value metrics to evaluate three machine learning architecture models based on speed and accuracy.
Part of my research during graduate school studies was focusing on surgical simulation and third party development, with an HCI focus. Here is a paradimgn of the work focusing on surgical simulation and 3D enviornments for robotic surgery.
Part of my work, as a big component of my thesis work was to create a custom annotated dataset fromIntel's CVAT tool and Open Vino Open Model Zoo framework. The following is in works for publication and its walkthrough is open to the public for usage.
For third party surgical simulation development, I was responsible for creating and simulating a 3D virtual environemnt for an in vivo diaphram dissection using Unity and Unreal Engine
NERVE+Inc is currently a start-up, submitted to the Y combinator, which focuses on creating video games for surgeons. As a software engineering lead, I was responsible for scaling and showcasing the MVP.
As the TechLead for VAROS Technologies, I was responsible for spearheading the technical development, AR/United Dev, and operations for VAROS Tech. We acquired our first customer within one month of being onboarded.
Using Unreal Engine for my AI Molecular Modeling class I developed a Web 3.0 workbench for pharmacutical cutomizations on new proteins, with viable applicaitons towards research and educaiton.
During my time with the Synergy Lab at Virginia Tech, in undergad, I learned abou the UNET Architecture and played around with such variations of it for the goal purposes of low cost CT Imaging.
As part of my summer internship in 2021, I played around with the Microsoft Hololens, with blender files for healthcare applications utilizing virtual organs.
During COVID-19, I became a classroom assistant for a local Title 1 School to teach 3rd-5th graders about Artificial Intelligence and Robotics, in a hybrid setting, combining resources from the local university to showcase to students.
While in grad school I worked with a team to develop a web-based virtual museum for the Liberation War Museum in Dhaka, Bangladesh to present to students.
During my time with the Cyberbiosecuirty Initiative, I focused on low cost machine learning applications using the MobileNet architecture to detect piracy using mobile phones.
As a side project for machine learning tactics, with customized data analysis, I have a breadth of experience in sci-kit learn and tensorflow packages in python.
If interested in connecting, feel free to reach out!
