Sameer Surla

SDE Intern

DiaX.AI•  May 2024 - July 2024•  Remote / Chennai

Developed Deep Learning Model to detect diabetic foot ulcers, now adopted by Tamil Nadu State Government. Achieved 95% accuracy in YOLO-based ulcer detection models, with potential impact over 10M patients. Enhanced model robustness by 15% through annotation and augmentation of 3,000+ images using Roboflow. Led full software lifecycle, including preprocessing, training, and deployment, optimizing model performance.

SDE & Reliability Intern

MachIntell•  February 2024 - May 2024

Developed solutions for OEMs to detect & resolve machine malfunctions, contributing to reliability engineering. Achieved 98.76% accuracy in developing a hardware product (in progress) for sensor and actuator monitoring. Reduced diagnosis time by 40% through real-time malfunction analysis using MCF, Laplace, and events plots. Integrated malfunction detection with Database, Frontend, Backend, & Hardware teams, enhancing reliability.