Sachin Komati

Focused on healthcare AI research and clinical predictive modeling: Sachin has co‑authored peer‑reviewed work on postoperative delirium prediction and presented related work at clinical conferences, indicating a research emphasis on applying ML (XGBoost, Random Forests, LSTM) to real clinical datasets and translating models toward clinical workflows. nih+3

Practical ML engineering and deployment experience across research and industry: his portfolio describes building and deploying multiple predictive models and Streamlit apps, and his industry role at Wipro involved production forecasting and ML systems work, showing strengths in full model lifecycle (data wrangling, modeling, validation, deployment). datascienceportfol+1

Academic training with emphasis on deep learning, computer vision, and responsible/practical AI: MS coursework and roles (student TA, student representative) at Florida International University complement hands‑on research outputs and certifications in GCP/biostatistics and clinical research conduct. datascienceportfol+1

Recognized contributor in critical‑care and gastroenterology research communities: portfolio and aggregator profiles list awards and multiple conference/poster recognitions (e.g., STAR Research Award, presidential poster awards), reflecting active participation in domain conferences and collaborative clinical research. datascienceportfol+1