Experience

Education

Rochester Institute of Technology Rochester, NY
GPA: 3.97/4.00
Relevant coursework: Deep Learning, Statistical Machine Learning, Non-Convex Optimization for Modern Machine Learning.

Pulchowk Campus, Tribhuvan University Lalitpur, Nepal
Relevant coursework: Data Mining, Artificial Intelligence, Big Data Analytics, Probability and Statistics.

Rochester Institute of Technology Rochester, NY
Built a Bayesian continual learning framework that dynamically adapts network depth and width for evolving tasks; published at ICML 2024.
Developed a cross-task representation-alignment framework that improved average accuracy by 2.16 percentage points for exemplar-free class-incremental learning; manuscript under review.
Designed a parameter-efficient adaptation method for continual generalized category discovery using full-covariance Gaussian prototypes, evaluated on medical imaging datasets.
Developing a Bayesian adaptive graph neural network for gene-disease association prediction over protein-protein interaction graphs; currently conducting benchmark evaluation.

Zillow Group Remote
Developed a mixture-of-rank-1-experts architecture for continual user modeling, enabling parameter-efficient adaptation to sequential recommendation data; published at ECIR 2026.

Fusemachines Kathmandu, Nepal
Led the development of a multimodal machine-learning pipeline for identifying potential trafficking activity in online advertisements using video, image, and text data.
Built image–text contrastive models for advertisement matching, face-based identity linking, and BERT-based social-handle extraction, improving cross-ad linkage accuracy by 35%.
Developed a lightweight object detector that increased inference throughput by 47%, then deployed it on NVIDIA Jetson Nano devices for real-time waste-type and disposal-intent classification.
Authored computer-vision and time-series instructional materials for the Fusemachines AI Education Program, supporting the training of 1,000+ junior engineers.

fuseAI & Herald College Kathmandu, Nepal
Instructed undergraduate course covering fundamental mathematics for machine learning, including Linear Algebra, Calculus, Probability and Statistics, and Information Theory.

Leapfrog Technology Kathmandu, Nepal
Worked in license plate localization with standard convolutional neural networks and different loss functions.
Trained to build a face recognition system with face detection, point-based face alignment, face embedding model, and nearest-neighbor classifier.