Working on project for a client in the space of E-commerceCurrent stack: Python, Open Search, AWS

Master's Thesis - Unsupervised Latent Space Exploration and Disentanglement in Full Body Human CT Scan

Worked on the project Customer Feedback Analytics PlatformThis project included a solution which gathers the reviews made by customers and using Natural Language Processing, classifies the reviews as positive or negative and displays the statistics from various reviews as relevant KPIs for decision making.

Machine Learning Infrastructure Team : Working on the backend for the machine learning infrastructure at HubSpot

Under the guidance of Dr. Chetan Arora.1) Gallbladder Cancer Detection in Ultrasound Images: Using Deep Learning and Computer Vision for cancer detection in US images, using classification and detection techniques, while handling noisy US images. Specifically taking care of the interpretability of the deep learning model from a medical perspective.2) Breast Cancer Detection in mammograms and effect of medical history on detection : To see whether medical history impacts the… Show more Under the guidance of Dr. Chetan Arora.1) Gallbladder Cancer Detection in Ultrasound Images: Using Deep Learning and Computer Vision for cancer detection in US images, using classification and detection techniques, while handling noisy US images. Specifically taking care of the interpretability of the deep learning model from a medical perspective.2) Breast Cancer Detection in mammograms and effect of medical history on detection : To see whether medical history impacts the breast cancer detection deep learning model. Show less

Working on scaling up drone usage to solve everyday problem through intelligence and networksPrimarily worked on Artificial Intelligence, Deep Learning, Computer Vision and Controlswith exposure to deploying these technologies.1) Parking Lot Violation Detection System : Using Deep Leaning, Computer Vision, and Control to navigate a drone to periodically perform surveys of a parking lot and identify parking spot detections, subsequently capturing the license plate of the… Show more Working on scaling up drone usage to solve everyday problem through intelligence and networksPrimarily worked on Artificial Intelligence, Deep Learning, Computer Vision and Controlswith exposure to deploying these technologies.1) Parking Lot Violation Detection System : Using Deep Leaning, Computer Vision, and Control to navigate a drone to periodically perform surveys of a parking lot and identify parking spot detections, subsequently capturing the license plate of the car.2) Wind Turbine Inspection using autonomous drones : Using Deep Leaning, Computer Vision, and Controls to use a drone to detect and identify the blades of the wind turbine using RGB, Stereo, and Lidar sensors, plan a path and inspect the blades of Wind Turbine for defects. Show less

Computer Vision, Deep learning and Control engineeringWith some exposure to deploying the technologies as web apps

Prescription Plan Automation for Rheumatoid Arthritis Patients:Using classification and regression algorithms to predict the type of drug and dosage for patients based on data collected via a questionnaire.