Hi, I am a computer engineering graduate from IOE, Pulchowk Campus, with a year of experience as a research assistant at NAAMII, a reputable research organization. My primary research interests lie in developing and applying machine learning techniques to solve practical problems, focusing on semi-supervised learning, multi-modal learning, and natural language processing.

At NAAMII, I gained valuable experience developing and implementing complex machine-learning models for various applications, including natural language processing and medical images. I have a strong foundation in algorithms, data structures, and mathematics, enabling me to create practical solutions to challenging problems. I am a self-motivated individual with strong self-management skills and comfortable working independently or as part of a team. I am passionate about producing high-quality results that have a real impact on society.

As I seek to further my knowledge and skills in machine learning, I am eager to pursue a Ph.D. program that would allow me to delve deeper into these research areas. With my research experience and passion for creating practical solutions, I am confident I can make meaningful contributions as a research assistant.

  • Deep Learning
  • Machine Learning
  • Python
  • Natural Language Processing (NLP)
  • Medical Imaging
  • Bachelors in Computer Engineering, 2022

    Tribhuvan University, Institute of Engineering, Pulchowk Campus

  • High School in Physical Sciences, 2017

    SOS Hermann Gmeiner School Bharatpur, Bharatpur, Nepal


NepAl Applied Mathematics and Informatics Institute for research (NAAMII)
Research Assistant
April 2021 – Present Lalitpur, Nepal

Supervisor: Bishesh Khanal, Ph.D.

  • Contributing actively to research projects focused on Natural Language Processing (NLP), Medical Imaging, Semi-supervised Learning, and Multi-modal Learning.
  • Employed rigorous research methodologies to analyze data, draw meaningful conclusions, and contribute to advancing knowledge in these domains.
Full-stack Developer
November 2019 – June 2021 Lalitpur, Nepal
  • Participated vigorously in the development of by implementing the server-side functionality utilizing MongoDB as the database and Flask as the web framework.
  • Leveraged React as the front-end technology to facilitate seamless communication between the front-end and back-end components of the website.
  • Deployed servers using nginx, gunicorn, and Cloudflare, effectively managing the infrastructure to handle concurrent traffic of up to 5,000 users. This involved ensuring a smooth and uninterrupted user experience even during peak traffic.

Research Intern
July 2020 – December 2020 Remote

Supervisor: Binod Bhattarai, Ph.D.

  • Conducted extensive research on the availability of Nepali language corpora, resulting in a substantial corpus measuring nearly 3 GB in size.
  • Leveraged the Huggingface transformers library to train an ALBERT language model specifically tailored for the Nepali language.
Junior Researcher
May 2019 – March 2020 Remote
Researched comprehensively on two-dimensional In-Video Advertising, focusing on enabling seamless advertisement integration within platform videos without disrupting the viewing experience.

Recent Publications

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(2023). Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography. International Workshop on Advances in Simplifying Medical Ultrasound.

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(2022). COVID-19-related Nepali Tweets Classification in a Low Resource Setting. Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task.

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(2022). Monocular depth estimation using a multi-grid attention-based model. Journal of Innovative Image Processing.



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