Machine Learning

Comprehensive resume highlighting expertise in machine learning, computer vision, and AI systems development across pharmaceutical, security, and healthcare industries.

Transforming pharmaceutical manufacturing through cutting-edge ML solutions - from computer vision quality control to process optimization algorithms.

A focused 4-month engagement developing and optimizing ML models for business applications.

7 published papers with 152 citations across machine learning, healthcare AI, and computational biology domains.

Technical skills across programming, data science, machine learning, and web development.

Exploring the intersection of AI and healthcare through cutting-edge research in medical imaging, protein analysis, and clinical applications.

Completed Master’s degree in Electrical and Computer Engineering at Northeastern University with focus on machine learning and AI applications.

Developed a machine learning system that predicts how proteins interact with small molecules, contributing to drug discovery research.

Developed protein-ligand interaction prediction systems with 95.99% accuracy and created open-source web servers for drug discovery research.