I specialize in bridging the gap between State-of-the-Art AI and clinical practice. My mission is to build intelligent systems that empower healthcare professionals and enable the early detection of high-impact diseases, specifically Pancreatic Cancer.
The "Crown Jewel" of my Computer Vision work.
- Goal: Automated 8-class classification of Colorectal Cancer (CRC) biopsies.
- Tech: TensorFlow/Keras, EfficientNet-B0, Grad-CAM (XAI), OpenCV (QC).
- Impact: 93% validation accuracy on the NCT Heidelberg dataset.
A hybrid LLM-Agent system for pancreatic cancer early alerts.
- Goal: Detecting "Metabolic Decoupling" (HbA1c/BMI) in longitudinal data.
- Tech: Python, LLM Agents (Qwen2.5-Coder), Hugging Face API, Pydantic.
- Impact: Direct clinical reasoning through a safety-gated AI briefing engine.
Deep Learning for multi-label respiratory diagnosis.
- Goal: Real-time detection of 8+ pathologies in X-Rays with high interpretability.
- Tech: PyTorch, DenseNet121, Custom Grad-CAM Heatmaps.
- Impact: Solves anatomical focus issues in traditional DenseNet architectures.
Classic Machine Learning applied to urinary biomarkers.
- Goal: Early-stage PDAC differentiation using LYVE1, REG1B, and TFF1.
- Tech: Scikit-learn (Random Forest), Feature Engineering, Plotly.
- Impact: Accurate differentiation between pancreatitis and early-stage malignancy.
- Deep Learning: PyTorch, TensorFlow, Keras, Computer Vision.
- Generative AI: LLM Agents, Prompt Engineering, Hugging Face API.
- Machine Learning: Scikit-learn, Feature Engineering, Longitudinal Data Analysis.
- Full-Stack AI: Streamlit (Dashboards), Pydantic (Data Integrity), PDF Reporting.
- DevOps/Tools: GitHub (CI/CD), Git, Secret Management.
- 🌍 Goal: Looking for a 100% Remote Applied AI Engineer role (Preferred: Europe).
- 🩺 Domain: Healthcare, MedTech, Digital Pathology, Radiology.
- 💬 Status: Open to collaboration on projects that use AI for social good and life-saving applications.
I am currently transitioning into the Applied AI Engineering & MedTech Innovation space. While I refine my professional profiles, I am open to discussing collaborations, remote opportunities in Europe, or technical challenges in Healthcare AI.
"Transforming complex clinical data into actionable medical insights."
