I build computer vision and deep learning systems and take them from research into production. I am a Data Scientist at Vetology in Chicago, where I have shipped 200+ models across classification, detection, and segmentation, trained on A100s over 250,000+ radiographs, and processed more than 12 million images in production.
My focus is medical imaging, self supervised learning, and the model validation and governance that regulated, clinical use demands. I care about the whole path: pretraining and architecture, then validation, monitoring, and efficient inference once a model ships.
currently : Data Scientist @ Vetology, Chicago
focus : medical imaging AI, model validation and governance, MLOps
background : MS Data Science, Stevens Institute of Technology
interests : self supervised pretraining, regulated AI, efficient inference
Most of the repos below are clean, tested implementations built to be read and run. Where a project would normally lean on a huge pretrained model or external service, it uses a small stand in so the tests stay offline and honest. Nothing here claims a result a run did not produce.
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Medical imaging chest-xray-classification: multi label chest X-ray classifier, real mean AUC 0.832, with a validation report and an FDA style change control plan medical-image-segmentation: UNet++ and DeepLabV3+ with a Dice plus BCE loss tumor-grading: a PathMNIST tissue classifier, real validation accuracy near 0.92 dicom-toolkit: DICOM windowing, Hounsfield rescaling, and normalization, tested against the pydicom samples |
Validation and governance model-monitoring: drift detection with PSI, the KS test, and chi square medical-uncertainty-estimation: Monte Carlo Dropout and conformal prediction with coverage guarantees medical-explainability: Grad-CAM, Grad-CAM++, and occlusion sensitivity side by side ci-cd-for-ml: a CI pipeline that trains, tests, and gates on a quality bar |
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Self supervised and foundation models ssl-comparison: SimCLR pretraining compared by a shared linear probe mae-pretraining: a Masked Autoencoder from scratch medical-foundation-model: a small self supervised encoder pretrained on MedMNIST with linear probing ijepa-implementation: the core I-JEPA masking, predictor, and EMA target mechanics |
From scratch and generative transformer-from-scratch: multi head attention and a Transformer encoder built from scratch diffusion-model-from-scratch: a DDPM with the forward process, a small UNet, and sampling autograd-engine: a reverse mode automatic differentiation engine yolo-benchmark: IoU, non maximum suppression, and mAP implemented from scratch |
Medical and pathology
cancer-survival-prediction · survival-prediction-imaging · weakly-supervised-pathology · cell-segmentation · pathology-foundation-models · whole-slide-image-pipeline · stain-normalization · medical-image-augmentation · federated-learning-medical
Self supervised, multimodal, and foundation
contrastive-learning-methods · linear-probing-benchmark · dinov2-finetuning · clip-finetuning · image-text-retrieval · multimodal-embeddings · visual-rag · llava-medical-vqa · vlm-comparison
Generative models
diffusion-transformer · diffusion-math-walkthrough · controlnet-finetuning · dreambooth-finetuning · image-editing-with-diffusion · medical-image-synthesis · gan-progression
Detection, tracking, and video
open-vocabulary-detection · multi-object-tracking · sam2-finetuning · sam2-video-tracking · action-recognition · temporal-action-localization · video-anomaly-detection · video-object-tracking
3D, sensors, and remote sensing
lidar-object-detection · 3d-object-detection · 3d-scene-reconstruction · depth-estimation · occupancy-prediction · multi-sensor-fusion · optical-flow · pose-estimation-6dof · satellite-foundation-model
Efficient models and edge
model-compression · tensorrt-optimization · onnx-deployment · quantization-aware-training · knowledge-distillation · edge-vision-pipeline · real-time-segmentation
MLOps and infrastructure
ml-project-template · distributed-training · triton-inference-server · experiment-tracking · feature-store · data-versioning
Agentic
vision-agent · medical-diagnosis-agent · auto-image-annotator · image-search-engine · multi-agent-ml-experiments
Fundamentals
vision-transformer-from-scratch · backpropagation-from-scratch · positional-encoding-variants · loss-functions-explained · paper-implementations
