Yaroslav Kamchev

I am a computer science student and machine learning researcher blending software development with applied AI research. I have built full‑stack features in an agile environment and collaborated cross‑functionally with designers, backend engineers, and AI teams.

At Ellucian I contributed frontend components to a team product, Odyssey, which was pitched to the CTO and accepted onto the company roadmap. My work included sprint planning, code reviews, and cross‑team discussions that ensured timely delivery.

In academic research I developed models for impaired driving detection using Horizontal Gaze Nystagmus data, producing a prototype with roughly 70% validation accuracy and preparing demonstrations for legislators and potential conference publication. I also led a Siamese neural network project using triplet loss and presented findings via a formal poster.

I lead and mentor in campus AI activities, design databases and applications, and seek roles where I can apply machine learning, data analysis, and software engineering to build impactful, well‑engineered products.