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MethuselahsChild/README.md

Edmond Tucker

PhD Candidate — Artificial Intelligence | Capitol Technology University MS — AI & Machine Learning | Colorado State University Global

Building deep learning systems for medical image analysis. Currently developing Horus — a dual-backbone retinal disease classifier (MaxViT-Base + ConvNeXtV2-Base) with custom attention-fusion mechanisms, trained on large-scale multi-source fundus imaging datasets.

Research & Projects

Project Description Stack
Horus Multi-class retinal disease classification via fundus imaging (dissertation) PyTorch, MONAI, CUDA, MaxViT, ConvNeXtV2
MIRAGE Retrieval-augmented document intelligence with OCR and semantic search FastAPI, PaddleOCR, SQLite
GAN CIFAR-10 Generative adversarial network for image synthesis TensorFlow, Keras, CUDA
NLP Chatbot Closed-domain conversational agent with location-aware recommendations PyTorch, NLTK, Google Maps API
Face Detection Face detection and privacy preservation pipeline OpenCV, Haar Cascades
LSTM Turbine LSTM time-series predictive maintenance for GE T701 engines TensorFlow, LSTM

Tools I Work With

Python PyTorch TensorFlow MONAI OpenCV CUDA ONNX FastAPI C++ Git Linux

Connect

LinkedIn

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