Imaging Expert | Data Scientist | Machine Learning Engineer
I'm a biomedical engineer by training, with previous research positions at top-tier institutions such as Carnegie Mellon University, The University of Minnesota, Stanford University School of Medicine, and the Max Planck Society.
I provide consulting services across a range of technical and data-science domains, including imaging analysis, cloud computing, software development, and machine learning.
I've authored over 20 peer-reviewed publications in biomedical imaging, brain-computer interfaces, and machine learning, and hold two patents.
Languages: Python, R, MATLAB
ML Frameworks: PyTorch, TensorFlow, scikit-learn
Tools & Platforms: GitHub, AWS, Databricks, Docker, Bash/Shell scripting
EEG, MRI, ultrasound, microscopy, etc.. Specialized in image registration, segmentation, time-series analysis, and signal processing.
Deploying scalable ML pipelines using AWS, S3, Databricks, Docker. Focused on reproducibility, automation, and cost savings.
CNNs, MIL, transformers for imaging data. Optimization for deployment and inference on edge or cloud-based platforms.
If you're interested in collaborating, consulting work, or just want to talk tech - I'd love to hear from you!