I'm AI-native product manager and engineer focused on deep learning, LLM agents, and computer vision. I've won multiple hackathons and received research grants for work in training deep neural networks for chess and taxonomic classification.
AI project details jknoll.github.io | General Profile LinkedIn
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Deep CNN for multi-label classification of chess positions. Identifies tactical themes (back rank mate, zugzwang, pins) and openings from board state. Trained on 3M+ lichess puzzles. Grant Recipient
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Modified BEiT vision transformer for hierarchical taxonomic classification of fungi across six biological ranks. 89.91% accuracy at phylum level on 600K+ images. $5K Research Grant
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AI-powered video ad generation from product URLs. Uses Claude Agent SDK for multi-agent orchestration, web scraping for metadata extraction, and video generation APIs. Agentic Orchestration Hack
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Connects Claude Desktop to Blender via MCP for 3D model generation from USPTO technical drawings. Describe a mechanism, get a 3D model. YC/Anthropic MCP Hackathon
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