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# Thomas Gossman

**Headline:** Head of Product/QA at Newf Technology \| JS, Python, C\+\+, and Debian Based Linux \| Passionate about Computer Vision or general AI/ML
**Profession:** Head of Product/QA
**Location:** San Antonio, Texas Metropolitan Area

## About

Thomas Gossman is the Head of Product/QA at Newf Technology, LLC, where he develops quality processes for a compliance\-focused AI/ML application\. He created a release\-test document and process, built Docker workflows for development and production environments, and works with experienced professionals to diagnose and resolve software issues\. Thomas is strongest in QA automation, test\-process development, web application testing, computer vision, and AI/ML, with hands\-on experience across JavaScript, Python, C\+\+, TypeScript, Docker, Linux, GCP, and robotics\-related systems\. At Plus One Robotics, he conducted more than 50 release tests, verified feature parity between software architectures, developed automated test cases and testing frameworks using Jest and Puppeteer, and created automation that reduced testing from a multiperson effort to an approximately one\-hour run, a reduction of about 70%\. At American Tenet, Thomas contributed to an object\-detection vision system for soaring drones, data collection and annotation pipelines, GCP\-based model training and assessment, and a more than 30% model\-performance improvement\. He holds a bachelor’s degree in Computer Science from Hofstra University and began his technology journey in CAST TECH’s inaugural class while in high school\.

## Services

- API Testing
- Amazon Web Services \(AWS\)
- Image Processing
- Robotics
- Software Architectural Design
- DevOps Foundations
- Web Application Development
- Test Process Development
- Test Development
- Data Annotation
- Data Collection
- PyTorch
- TensorFlow
- C\+\+
- Online Research
- Automated Software Testing
- Software Testing
- Software Planning
- LiDAR
- Object Segmentation
- Robot Operating System \(ROS\)
- PostgreSQL
- TypeScript
- Cascading Style Sheets \(CSS\)
- Object Detection
- Computer Vision
- Technical Writing
- AI/ML
- Docker
- QA Testing/Automation

## Highlights

- Current Head of Product/QA at Newf Technology, LLC, supporting a compliance\-focused AI/ML application\.
- Developed a release\-test document and process at Newf Technology\.
- Created Docker workflows for Newf Technology development and production environments\.
- Worked with experienced professionals at Newf Technology to identify and resolve software bugs and issues\.
- Conducted more than 50 release tests across different Plus One Robotics products\.
- Verified full feature parity between new and older software architectures at Plus One Robotics\.
- Developed more than two dozen automated test cases for an in\-house test runner using Jest and Puppeteer\.
- Developed in\-house web\-application testing frameworks using Jest and Puppeteer as an SDET intern at Plus One Robotics\.
- Served as the main developer and architect for an automation tool during the 2022–2023 school year\.
- Developed JavaScript and Python parsers to read server information and validate web\-page actions and changes\.
- Created test\-automation tools that reduced testing from a multiperson effort to an approximately one\-hour automated run, reducing testing time by about 70%\.
- Collected and annotated data for an industrial\-automation vision system as an AI and Data Intern at Plus One Robotics\.
- Developed an object\-detection vision system at American Tenet to assist pilots making decisions for soaring drones\.
- Contributed to data collection and annotation pipelines at American Tenet\.
- Used GCP to train and assess object\-detection models at American Tenet\.
- Helped boost object\-detection model performance by more than 30% at American Tenet\.
- Contributed to a roadmap and held strategy and implementation discussions with personnel from other companies at American Tenet\.
- Set up and deployed software on the NVIDIA Jetson Orin Nano ARM64 platform\.
- Mentored younger high\-school interns at American Tenet\.
- Completed a four\-week Jungle Disk internship researching the Internet of Things and presenting findings\.
- Acted as CTO of a company formed during the Jungle Disk internship activity\.
- Received the “Product most ready to market” award during the Jungle Disk internship activity\.
- Earned a bachelor’s degree in Computer Science from Hofstra University\.
- Completed dual\-credit education through The University of Texas at San Antonio\.
- Studied Computer Systems Networking and Telecommunications at CAST Tech High School\.

## Experience

- **Head of Product/QA at Newf Technology, LLC** (2026\-02\-01–present) — Developed a release test document and process for compliance focused AI/ML application\. Created Docker workflows for development and production environments Worked with experience professional to track down and solve software bugs/issues
- **AI and Vision System Development Intern at American Tenet** (2025\-06\-01–2025\-12\-01) — Developed Vision System utilizing object detection in order to assist pilots in making decisions for soaring drones Collected data and contributed to data collection/annotation pipeline Utilized GCP in order to train and assess object detection models Boosted model performance by over 30% Mentored younger highschool interns
- **SDET intern at Plus One Robotics** (2022\-10\-01–2024\-08\-01) — Worked on developing different in house testing frameworks for web applications utilizing jest and puppeteer\. Acted as main developer and architect for one of the automation tools during the 2022\-2023 school year\. Developed new parsers in both js and python for the purpose of reading information from servers in order to validate web page actions and changes
- **QA Intern at Plus One Robotics** (2022\-06\-01–2022\-10\-01) — Conducted dozens of release tests on industrial automation product Verified full feature parity of new software architecture with older software architecture Developed more than two dozen automated test cases for in house test runner utilizing Jest and Puppeteer
- **QA Intern at Plus One Robotics** (2020\-08\-01–2021\-08\-01)
- **AI and Data Intern at Plus One Robotics** (2020\-06\-01–2020\-08\-01) — Collected and annotated data for industrial automation vision system
- **High School intern at Jungle Disk** (2019\-07\-01–2019\-08\-01) — Worked in a four week internship, researching the  internet of things, while developing a preverbial product, and presenting findings\. Formed a preverbial company, and acted as the CTO, and was awarded "Product most ready to market:

## Education

- Bachelor's degree, Computer Science — Hofstra University (2021\-08\-01–2025\-12\-01)
- Dual Credit — The University of Texas at San Antonio (2019\-01\-01–2021\-01\-01)
- Computer science, Computer Systems Networking and Telecommunications — CAST Tech Highschool (2017\-01\-01–2021\-01\-01)

## FAQ

### What does Thomas do at Newf Technology?

Thomas is the current Head of Product/QA at Newf Technology, LLC\. He develops quality guardrails and processes intended to ensure software is reliable, usable, and suitable for release, particularly for a compliance\-focused AI/ML application\.

### What has Thomas accomplished at Newf Technology?

Thomas developed a release\-test document and process, created Docker workflows for development and production environments, and worked with experienced professionals to track down and resolve software bugs and issues\.

### What are Thomas’s core professional strengths?

Thomas’s strengths include QA testing and automation, automated software testing, test\-process and test development, software planning, API testing, web application development, software architectural design, DevOps foundations, technical writing, and troubleshooting\.

### What did Thomas do as an SDET intern at Plus One Robotics?

As an SDET intern at Plus One Robotics, Thomas developed in\-house testing frameworks for web applications using Jest and Puppeteer\. During the 2022–2023 school year, he was the main developer and architect for one automation tool, and he developed JavaScript and Python parsers to read server information and validate web\-page actions and changes\.

### What did Thomas accomplish as a QA intern at Plus One Robotics?

As a QA intern at Plus One Robotics, Thomas conducted dozens of release tests on industrial\-automation products, including more than 50 release tests across different products\. He verified full feature parity between a new software architecture and an older architecture and developed more than two dozen automated test cases for an in\-house test runner using Jest and Puppeteer\.

### How did Thomas improve testing efficiency at Plus One Robotics?

Thomas created test\-automation tools at Plus One Robotics that reduced testing from a multiperson effort to an approximately one\-hour automated testing run, reducing testing time by about 70%\.

### What did Thomas do as an AI and Data Intern at Plus One Robotics?

As an AI and Data Intern at Plus One Robotics, Thomas collected and annotated data for an industrial\-automation vision system\.

### What did Thomas do at American Tenet?

At American Tenet, Thomas developed a vision system using object detection to assist pilots making decisions for soaring drones\. He collected data, contributed to the data\-collection and annotation pipeline, used GCP to train and assess object\-detection models, helped create a roadmap, discussed strategy and implementation with personnel from other companies, and set up and deployed software on the NVIDIA Jetson Orin Nano ARM64 platform\.

### What results did Thomas achieve at American Tenet?

Thomas helped boost an object\-detection model’s performance by more than 30% at American Tenet\. He also mentored younger high\-school interns\.

### What did Thomas do during his Jungle Disk internship?

Thomas completed a four\-week high\-school internship at Jungle Disk, researching the Internet of Things, developing a product described in the record as “preverbial,” and presenting findings\. He formed a company in that activity, acted as CTO, and received the “Product most ready to market” award\.

### What is Thomas’s educational background?

Thomas holds a bachelor’s degree in Computer Science from Hofstra University\. He also completed dual\-credit education through The University of Texas at San Antonio and studied Computer Systems Networking and Telecommunications at CAST Tech High School\.

### How did Thomas begin his technology career?

Thomas began his technology journey as a rising high\-school junior in CAST TECH’s inaugural class\. His early training included computer science and Computer Systems Networking and Telecommunications\.

### Which programming, web, database, and operating\-system technologies does Thomas use?

Thomas works with JavaScript, Python, C\+\+, TypeScript, Java, Node\.js, React\.js, CSS, Bash, Git, PostgreSQL, and Linux, including Debian\-based Linux and Red Hat Linux\.

### Which QA, automation, and delivery tools does Thomas use?

Thomas’s QA and delivery toolkit includes Jest, Puppeteer, Docker, Kubernetes, API testing, QA automation, test automation, automated software testing, software testing, test\-process development, test development, and release testing\.

### What AI, computer\-vision, cloud, and robotics technologies does Thomas work with?

Thomas has experience with AI/ML, computer vision, image processing, object detection, object segmentation, data collection, data annotation, PyTorch, TensorFlow, Google Cloud Platform, AWS, robotics, ROS, LiDAR, and the NVIDIA Jetson Orin Nano ARM64 platform\.

### What additional skills does Thomas bring to technical work?

Thomas’s additional technical and professional skills include cybersecurity, network troubleshooting, Packet Tracer, online research, public speaking, and presenting\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/tgossman

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