Experience

Graduate Research Assistant

Research, Lane Department of Computer Science and Electrical Engineering, West Virginia University
2024 January - Present

Working on applying AI and ML to improve healthcare.

• Used deep learning to estimate heart ejection fraction from ECG signals
• Trained a foundation model for GI endoscopy images using federated learning
• Used knockoff framework for feature selection in manufacturing

Machine Learning Engineer

Industry, coac GmbH
2022 April - 2023 December

Ideated and implemented AI solutions to meet project requirements.

• Improved OCR and object detection in PDFs containing scanned schematic diagrams
• Conducted research on optimization algorithms to minimize lockdown in German counties due to the pandemic, and used AI models to replicate a mathematical model to reduce computation time

Research Assistant

Research, NepAl Applied Mathematics and Informatics Institute for Research (NAAMII)
2021 July - 2022 April

Conducted research to assist medical personnel in low-income countries like Nepal.

• Used UNET architecture for segmentation of fetal head to measure fetal head circumference in the HC18 dataset
• Used a classification algorithm to detect cancer in ultrasound images of breasts
• Worked on the exploration of semi-supervised techniques and attention across multiple data points to capture complex relationships between data points

Machine Learning Engineer

Industry, Fusemachines
2019 September - 2021 April

Developed AI applications to adhere to designs that support business requirements by researching and developing machine learning models.

• Led a team in an intelligent surgery project to develop and deploy an ML pipeline to create 3D bones from multiple views of 2D X-ray images
• Used pseudolabelling to use a large number of unannotated data to track student status in FuseClassroom, an online learning management system
• Used Elasticsearch to reduce the search space in text comparisons to detect plagiarism between assignments within a class in FuseClassroom

Software Engineering Intern

Industry, UBL R&D Center
2019 July - 2019 September

• Designed and developed a discussion forum as part of a Learning Management System using Django.
• Worked on the development of the database, REST APIs, and front-end for the discussion forum

Software Engineering Intern

Industry, Leapfrog Technology, Inc
2019 February - 2019 July

• Worked on data collection, pre-processing, and development of a model (LSTM) for forecasting weather parameters in Kathmandu Valley, and developed a web-app for data visualization of current weather and pollution statistics and to display predicted weather parameters.