About
Experience
2025–Present
Senior Machine Learning Engineer, Apple.
2022–2025
Software Engineer, Machine Learning, Intel.
2021
Researcher, Stanford AI Lab, Stanford University.
2019–2020
Machine Learning / Deep Learning Instructor, AI Microdegree™, fuse.ai.
2017–2020
Senior Machine Learning Engineer, Fusemachines.
2016–2017
Research and Development Engineer, Spark Tech Pvt. Ltd.
2014–2016
Robotics Engineer, Robotics & Automation Center. Represented Nepal at international robotics competitions: Techfest (IIT Bombay) and Kshitij (IIT Kharagpur).
Education
2021–2022
M.S. in Computer Science, New Mexico Tech. Research at Los Alamos National Laboratory.
2017–2018
Artificial Intelligence MicroMasters™, Columbia University (ColumbiaX).
2012–2016
Bachelor of Engineering, Institute of Engineering, Thapathali Campus, Tribhuvan University.
Publications and Preprints
Survey on Self-Supervised Multimodal Representation Learning and Foundation Models
TL;DR: A survey of self-supervised methods for multimodal representation learning and the rise of multimodal foundation models.
On Effects of Knowledge Distillation on Transfer Learning
TL;DR: Combining knowledge distillation with transfer learning (TL+KD), and how distillation during fine-tuning affects generalization and robustness.
An Effective Baseline for Robustness to Distributional Shift
TL;DR: An abstention-class baseline for out-of-distribution detection that often beats prior state of the art on vision and NLP benchmarks.