I am a researcher and engineer passionate about applying AI to healthcare, bioinformatics, and scientific discovery. I see patterns everywhere ♾️—whether in biological data, images, or natural language—and I love turning them into insights using machine learning. My curiosity drives me to explore both the theoretical depth of algorithms and their real-world applications in health and science.
- Retinal Vessel Segmentation for diabetic retinopathy using deep learning (U-Net, preprocessing pipelines).
- Odia Handwritten Numeral Recognition with CNNs, contributing to OCR for low-resource languages.
- Generative AI for Music – sequence modeling of notes and chords to generate Beethoven-style compositions.
- The use of AI and machine learning for healthcare and biological data, including computational biology, bio-molecular modeling, medical imaging, and generative models for discovery and analysis.
- Research projects combining machine learning with biomedical or biomolecular data.
- Applications of AI in healthcare, genomics, and scientific discovery.
Worked as a Backend Engineer at Open Financial Technologies, where I designed scalable systems and reliable data pipelines.
I now bring these skills into managing and processing large-scale scientific datasets for AI-driven research.