Open to opportunities

Daniel Burnayev

@danielburnayev

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I build AI-powered software, data pipelines, and computer vision systems with Python and cloud services.

United States

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What I'm looking for

I'm looking to build AI/ML and software systems involving computer vision, natural language processing, data pipelines, cloud services, and collaborative product development.

I've built AI-powered systems at Penn State's Applied Research Laboratory, Nexus 8 International, and Maximus, from computer vision evaluation to customer-facing medical chatbots and AWS document analysis.

At Penn State, I evaluated YOLOv8n across 12 data removal rates, processed 1,000+ predictions, and built an image-labeling pipeline for 100,000+ files that reduced processing time from two hours to 14 minutes. At Maximus, I prototyped an AWS document analyzer using Lambda, Bedrock, and Textract to process hundreds of digitized documents into JSON in one minute.

I've also built projects using Gemini, OpenAI, Google Calendar, Cloud Run, and NASA FIRMS data, and I enjoy collaborating through Git, GitHub, Agile practices, and technical mentoring.

Experience

Work history, roles, and key accomplishments

AI/ML Research and Development Intern

The Applied Research Laboratory at Penn State University

Jan 2026 - Aug 2026 (7 months)

Evaluated a YOLOv8n computer vision model using F1 score across 12 data removal rates, confirming consistent accuracy even when 80% of the data was removed. Utilized PyTorch, scikit-learn, NumPy, and pandas to process over 1,000 model predictions and generate evaluation metrics that guided model refinement.