Aug 2024 - Feb 2025
- Retina Disease Classification for Glaucoma and Age-Related Macular Degeneration(AMD) & Code & Inference Code using Docker
- MICCAI Challenge (Pengwin) & Code
- Worked as a Teaching Assistant (TA) in Lab Sessions for Fifth Annual Nepal AI School (ANAIS) 2024 organized by NAAMII
- Participated in Paper and Book Reading Sessions : SemiViT, EGDCL
- Project Based Learning (PBL) Training for Glaucoma Classification from Fundus Images for Researchers Link
Oct 2023 - July 2024
- Conducted Medical Image Semantic Segmentation on 3D volumes : Brain Tumor Segmentation of 3D MRI volumes & Code From Library : MONAI & Code using PyTorch
- Medical Image Segmentation on 2D Images X-Ray Images : Lung Segmentation & Code
- 3D Liver Tumor Segmentation using Library : Monai
- Worked on Lung Infection Diagnosis using Chest X-Ray images & Code
- Utilized libraries like MONAI and frameworks such as PyTorch Lightning, Hydra, and Lightning Hydra Code Links : UNet_Segmentation_Model_with_Lightning_Hydra, SpleenSegmentation with Monai & Pytorch Lightning, Liver_Tumor_Segmentation_using_MONAI
- Explored AFTer-UNet architecture for 3D segmentation
Jan 2023 - Dec 2023
- Hands -on ML concepts and Algorithms like Linear Regression,Logistic Regression,Decision Trees, Ensemble Methods,Probabilistic Methods,Clustering, Dimensionality Reduction, Time Series Analysis and Reinforcement Learning
- Hands-on Deep Learning concepts and Algorithms like CNN,RNN,LSTM,GRU,Attention and Neural Computation, Transformers, Variational AutoEncoders, GANs and Deep Reinforcement Learning
- Paper reading and presentation sessions
- Projects like : Sentiment Analysis with Naive Bayes Classifier : Code, Visual Question Answering with BERT & ViT : Code, Music-Genre-Classification : Code
July 2023 - Aug 2023
- Contributor for the Local chapter project "Developing a Natural Language Toolkit for the Nepali Language"
- Skills : Familiarity with NLP Models like BERT, GPT, T5. Concepts like Tokenization, Stemming, Lemmatization, stopwords removal in Nepali Language. Similarly, doing supervised text classification, zero-shot and few-shot text classification.
- Links
Part Of Speech (POS)Tagging, Hidden Markov Models and Viterbi Algorithm
Sentiment Analysis with Naive Bayes Classifier
Practical Data Science on AWS Cloud - Coursera
Machine Learning Specialization - Coursera
Deep Learning Specialization - Coursera
- Bachelors in Electronics, Communication and Information Engineering
Tribhuvan University, Institute of Engineering, Thapathali Campus
(Nov 2019 - Mar 2024, Kathmandu)