Ashutosh Kumar Email & Phone Number

Rochester, New York, United States

Health Systems Engineering Laboratory

• Worked on oral cancer detection from phone-snapped images using YOLOv7
• Worked on CheXpert dataset to build detection module for 5 major classes combined with COVID & TB
• Deployed the detection model on Streamlit and used Google Cloud as a cloud detection service and production

Worked on Anomaly Detection in Chest X-Rays as part of Bachelor's project and later worked on crop disease detection in the most vulnerable crops in India

Bengaluru, Karnataka, India

• Evaluated state-of-the-art object detection models on low-to-high resolution images(300px-4000px)
• Modeled object detection in 4K images using vision transformers integrated with a pre-trained CNN module
• Organized high-resolution datasets and performed EDA for further evaluation of multi-modal functionalities

Roorkee, Uttarakhand, India

• Evaluated U-Net model on 360 OCT-scans dataset and devised new evaluation metrics
• Researched several deep learning model evaluation metrics and computed for small & large datasets
• Built an autonomous UAV with a robust control system to minimize data acquisition errors in IMU & ultrasonic sensor

Hyderabad, Telangana, India

• Remodeled YOLOv3 for transfer learning on drone image datasets in deep reinforcement learning model
• Designed a game simulation on Unreal Engine for model-testing purposes using Microsoft Airsim library
• Built a web application for filter visualization and feature mapping using YOLOv3 and Streamlit

• Assessed data of 200+ discarded clothes and devised data metrics to generate analytics for clothing waste
• Redesigned the system infrastructure of the startup and pipelined the data, design, and production
• Evaluated large datasets of consumer surveys & sales in clothing industry to build analytics platform for client usage

IIT Roorkee

Master Of Science - Ms, Artificial Intelligence, 3.84/4.0

Bachelor Of Technology - Btech, Engineering Physics, 7.8/10.0

Relevant Courses: Deep Learning for Computer Vision Hardware Architecture for Deep Learning Artificial Neural Networks Data Mining for.

Intermediate, Science, 91%

Matriculation, Science, 10.0/10