GeezerVison is showing github.com — jknoll - Overview
Distributed systems, peer-to-peer, blockchain, Web3, ML, AI, Deep Learning, LLMs.
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
PyTorch Computer Vision Multi-label Classification
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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
Vision Transformers Hierarchical Classification BEiT
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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
Claude Agent SDK Multi-Agent Video Generation
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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
MCP Blender 3D Modeling
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This project implements a deep convolutional neural network to perform multi-label classification on board positions sourced from the lichess puzzles dataset. Each board position is labeled with ap…
Python
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Train a deep neural network to learn the board position eval() function from labeled lichess.com position examples and use the result to play live chess.
Python
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Connects Claude Desktop to a locally hosted Blender MCP server, a local Blender instance, and a newly-developed local MCP server which serves as a technical drawing database and server. The user ca…
Python
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Control system for simple holonomic drive mecanum-wheeled Raspberry Pi based robot.
Python
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Super minimal no-frills code to calculate and display a minimal Elo Ladder for two player zero-sum games such as chess, billiards, etc. Previously used for continuous local billiards ladder.
Python
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