Ethan Kochis is a computer scientist with nine years of professional experience who blends rigorous research experience and practical claims handling expertise. A summa cum laude TCNJ graduate, he spent much of his academic career as a student researcher, publishing work on active learning and machine translation and improving codebase stability and performance. He transitioned into industry roles where he led technical proofs of concept at AT&T and now applies analytical rigor as a Claims Adjuster Associate managing workers' compensation from first notice to closure. Comfortable across Python and Java ecosystems and experienced with ML toolkits and parallel computing, he brings a researcher’s attention to reproducibility and efficiency to operational problems. Based in Trenton, NJ, he’s known for translating complex technical ideas into pragmatic solutions and for boosting team productivity through tooling and knowledge transfer.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 4.0, Bachelor of Science - BS, Computer Science, 4.0 at The College of New Jersey
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