Research Engineer | ML | CV | NLP

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VOLUNTEERING

• Teaching Assistant at Annual Nepal AI School (ANAIS)

• Instructor for technical workshop on AI in Healthcare (BP-Eye Foundation)

• Hackathon Mentor at NASA Space Apps Challenge (NRCC)

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WORK EXPERIENCE

Foundational Research Engineer @ Accelerated Komputing (AnK)

Mar 2025 - Present

• Developed a DGCNN model projecting similar tooth surfaces closer together in vector space

• Created a Teeth Similarity API

• Dataset preprocessing for teeth reconstruction

• Code Development for crown surface reconstruction

• Explored about Teeth Segmentation with Intraoral 3D Scans

• Explored about Segmentation of Tooth-Gingiva Marginal Line on Dental Surface

Research Assistant @ Nepal Applied Mathematics and Informatics Institute for research (Naamii)

Aug 2024 - Feb 2025

• Retina Disease Classification for Glaucoma and Age-Related Macular Degeneration(AMD) & Code & Inference Code using Docker

• MICCAI Challenge (Pengwin) & Code

• Participated in Paper and Book Reading Sessions : SemiViT, EGDCL

• Project Based Learning (PBL) Training for Glaucoma Classification from Fundus Images for Researchers Link

Research Intern @ Naamii

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

AI Fellow @ Fusemachines

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

Junior ML Engineer @ Omdena Nepali Chapter

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

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EDUCATION

• Bachelors in Electronics, Communication and Information Engineering
  Tribhuvan University, Institute of Engineering, Thapathali Campus
  (Nov 2019 - Mar 2024, Kathmandu)

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PROJECTS

• Fracture Segmentation Model

• Retina Disease Classification for Glaucoma and AMD

• Spleen Segmentation

• Scrap Detection Mechanism using Faster R-CNN

• CNN-based Lung Disease Classification from Chest X-ray

• Brain Tumor Segmentation (BRATS)

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CERTIFICATIONS

• Practical Data Science on AWS Cloud - Coursera

• Machine Learning - Coursera

• Machine Learning Specialization - Coursera

• Deep Learning Specialization - Coursera

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ARTICLES

• EEG-GNN paper Analysis

• Part Of Speech (POS)Tagging, Hidden Markov Models and Viterbi Algorithm

• Sentiment Analysis with Naive Bayes Classifier

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COMMUNITY EXPERIENCE

TENSOR

• Coordinator(Mar 2023 – Feb 2024)
• Joint Secretary(June 2022 – Feb 2023)

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