I will build ai models for biomedical data

I'm a healthcare-focused ML R&D (5+ years in medical imaging). I build research prototypes and internal-use APIs, delivered as Dockerized FastAPI services in your cloud/VPC.

No clinical or diagnostic claims.

What I can build

• Medical imaging: classification, segmentation, detection (DICOM/PACS ready)
• Clinical NLP: de-identification, report parsing, summarization, RAG chatbots
• Generative & augmentation: ethical image synthesis for R&D
• Interpretability: Grad-CAM, saliency, SHAP, feature importance

What you'll get

• A model trained on your data (or public/synthetic), with clear metrics
• Reproducible code/notebooks, README + model card
• Basic monitoring/logging and integration guidance
• Actionable advice to optimize your ML pipeline & integration
• Reports on the model performance, accuracy and efficiency
• Dockerized FastAPI inference service

How we'll work

1. Scope & success criteria (task, metric, constraints)
2. Data audit & preprocessing (privacy-minded)
3. Model training & evaluation (baselines tuned)
4. API packaging
5. Handover, docs, and next steps

Deliverables are for R&D/internal evaluation only; not a medical device and not for clinical use.