Open to opportunities

steven kotschegarow

@stevenkotschegarow

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Computer Science graduate specializing in AI with hands-on experience.

United States

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What I'm looking for

I am seeking a role that allows me to innovate with AI technologies and contribute to impactful projects.

I am a Computer Science graduate from the University of South Dakota, specializing in Artificial Intelligence. My academic journey has equipped me with a solid foundation in programming and data structures, achieving a cumulative GPA of 3.62. I have developed a keen interest in leveraging technology to solve real-world problems, particularly in the field of AI.

During my internship, I collaborated with a team to create an AI-powered chatbot for a construction client, utilizing a retrieval-augmented generation pipeline on Azure. This project not only honed my technical skills but also demonstrated the potential of AI in enhancing operational efficiency, saving the client an estimated 700 hours annually. Additionally, my experience in retail at Walmart has instilled a strong work ethic and the ability to thrive in fast-paced environments.

Experience

Work history, roles, and key accomplishments

Software Intern

Confidential Company

Jan 2025 - May 2025 (4 months)

Worked on a team to develop software for a client under a non-disclosure agreement. This involved contributing to various stages of the software development lifecycle, ensuring project confidentiality and adherence to client specifications.

Software Development Team Collaboration Confidentiality Programming Problem Solving

Stocking Associate

Walmart

Jan 2020 - Jul 2023 (3 years 6 months)

Managed inventory and stocked shelves, ensuring product availability and organized displays for customers. Collaborated with team members to maintain a clean and efficient retail environment, contributing to overall store operations.

Inventory Management Stocking Teamwork Customer Service Time Management

Freelance Software Developer

Self Employed

Developed an AI-powered chatbot for a construction-industry client, leveraging a retrieval-augmented generation (RAG) pipeline on Azure, which saved an estimated 700 hours per year. Fixed a critical bug in a Python web scraper responsible for ingesting thousands of regulatory documents and uploading them to an Azure Blob. Additionally, developed a modern website for a small business owner utilizin