Experienced Machine Learning Scientist designing, implementing, and deploying cutting-edge AI/ML models for molecular docking, virtual screening & hit generation, property prediction, protein sequence analysis and target identification, as well as developing Computer Vision (MRI, PET/CT, Pathology) and Signal Processing (EEG, EMG, ECG) applications.Proficiencies: Executing machine learning and deep learning methodologies to expedite target identification and lead generation. Utilizing Geometric Deep Learning, Algebraic Topology, Energy-Based Models and Protein Language Models for innovations in AI-driven drug discovery.Core Competencies: Implementing scalable and resilient software through Test-Driven Development and CI/CD pipelines. Publications at top-tier AI conferences (NeurIPS, ICLR, CVPR).