QuarkIQL QuarkiQL is an AI tool for simplifying image API test workflow. It allows for custom image tests and easy requests through REST calls. With Quark, users can accRead More
QuarkIQL is a powerful AI tool designed to simplify the process of testing image APIs. It enables users to generate custom images and requests with just a few clicks. QuarkIQL is powered by sophisticated image diffusion models and allows for GET, POST, and other requests tailored to the user’s development goals. The tool keeps an easily accessible log of queries so that users can quickly and accurately run more experiments without having to start from scratch. QuarkIQL is the brainchild of two experienced software engineers, Jake Wigal and Kevin Yu, who have backgrounds in operations research and mechanical engineering respectively. Sign up today to experience the convenience and accuracy of QuarkIQL’s image API testing workflow.Read More
Introducing QuarkIQL, a revolutionary tool that helps developers quickly and easily generate test images for API endpoints. Say goodbye to manual image creation and hello to fast and efficient testing. Try it out now and take your image API testing game to the next level! 🎉🔥🚀Read More
QuarkIQL: Revolutionizing Image API Testing It’s a powerful AI tool that simplifies image API testing with custom images and requests, featuring advanced image diffusion models and an accessible log of queries for efficient experimentation.Read More
you’re missing out if you don’t… Generative testing for computer vision APIs. Create custom images and requests in only a few clicks.Read More
I’m a Faculty Associate at Naval Postgraduate School where I specialize in data science and software engineering to address the needs of federal government sponsors. Recently I designed an operational model of Oahu’s road network and emergency food demand using Pandas, Pyomo, and SciPy that is featured in the State of Hawaii’s Distribution Management Plan. I have also developed a cloud-deployed application using Angular, AWS, and Jenkins for federal projects exceeding 1M in funding, and guided master’s students through data science courses and capstone projects. I have published multiple papers and presented on topics related to data science, analytics, and critical infrastructure.
My previous experience includes developing a full-stack application automating synthetic image generation for computer vision API testing at QuarkIQL. I also managed a patient database and contributed to recruitment and retention in 12 ADHD medication clinical trials at AVIDA.
You can find my publications and p