"Transforming biological signals into digital insights, one algorithm at a time."
I'm passionate about bridging the gap between human physiology and artificial intelligence, specializing in biomedical signal processing, wearable technology, and machine learning applications in healthcare.
๐ฌ Biomedical Signal Processing - Extracting meaningful patterns from physiological data
๐ค Deep Learning & AI - Building intelligent systems for healthcare applications
โ Wearable Technology - Developing algorithms for biosignal analysis from wristband devices
๐ Data Science - Transforming complex datasets into actionable insights
๐๏ธ Systems & Control Engineering - Designing robust control systems and digital twins
๐ Time-Series Analysis - Specialized in temporal pattern recognition and forecasting
๐ง RAG & Graph RAG - Retrieval-Augmented Generation with knowledge graphs and semantic search
๐ผ๏ธ Image-to-Image Translation - Advanced computer vision for medical imaging and visual transformations
- ๐ Computational Drug Discovery - Leveraging AI/ML for drug design and molecular property prediction
- ๐งฌ Protein Structure Analysis - Using deep learning for protein folding and drug-target interaction prediction
- ๐ฌ Molecular Generation - Developing generative models for novel drug compound synthesis
- ๐ Pharmacokinetic Modeling - Predicting ADMET properties using machine learning approaches
- ๐ค RAG Systems for Drug Discovery - Building intelligent knowledge retrieval for pharmaceutical research
- ๐ธ๏ธ Graph RAG Implementation - Advanced semantic search using knowledge graphs
- ๐ผ๏ธ Image-to-Image Translation Projects - Medical imaging enhancement and style transfer
I'm always excited to discuss innovative projects in biomedical engineering, AI/ML applications in healthcare, wearable technology, RAG systems, and computer vision. Whether you're interested in collaboration on image-to-image translation projects, implementing advanced RAG architectures, research opportunities, or just want to chat about the latest in biosignal processing, I'd love to hear from you!