Rabin Adhikari

Rabin Adhikari

MS in Data Science and AI

Saarland University

Biography

Hi, I am currently pursuing a Master’s degree in Data Science and Artificial Intelligence at Saarland University, Germany. I hold a degree in computer engineering from IOE, Pulchowk Campus, and have gained valuable experience as a research assistant at NAAMII, a leading research institute. My research interests lie in machine learning, focusing on semi-supervised learning, multimodal learning, and natural language processing.

At NAAMII, I developed and implemented advanced machine-learning models for real-world applications, including natural language processing and medical imaging. My strong foundation in algorithms, data structures, and mathematics equips me to tackle complex challenges, and I am passionate about creating impactful solutions through technology.

I am eager to expand my machine learning and AI expertise through academic and research opportunities, with the long-term goal of pursuing a Ph.D. My research experience and passion for applying machine learning techniques to societal challenges enable me to contribute effectively to interdisciplinary research teams.

Interests
  • Deep Learning
  • Machine Learning
  • Python
  • Natural Language Processing (NLP)
  • Medical Imaging
Education
  • MS in Data Science and AI, 2024

    Saarland University, Saarland Informatics Campus

  • Bachelors in Computer Engineering, 2017

    Tribhuvan University, Institute of Engineering, Pulchowk Campus

  • High School in Physical Sciences, 2015

    SOS Hermann Gmeiner School Bharatpur, Bharatpur, Nepal

Experience

 
 
 
 
 
NepAl Applied Mathematics and Informatics Institute for research (NAAMII)
Research Assistant
April 2021 – September 2024 Lalitpur, Nepal

Supervisor: Bishesh Khanal, Ph.D.

  • Contributed 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.
 
 
 
 
 
Clamphook
Full-stack Developer
November 2019 – June 2021 Lalitpur, Nepal
  • Participated vigorously in the development of clamphook.com 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.
 
 
 
 
 
Diyo.ai
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.
 
 
 
 
 
ASMI
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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Accomplish­ments

DeepLearning.AI
Natural Language Processing Specialization
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DeepLearning.AI
Generative Adversarial Networks (GANs) Specialization
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DeepLearning.AI
TensorFlow: Data and Deployment Specialization
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University of Michigan
Applied Data Science with Python Specialization
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DeepLearning.AI
AI for Medicine Specialization
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DeepLearning.AI
TensorFlow Developer Specialization
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DeepLearning.AI
Deep Learning Specialization
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DeepLearning.AI
Deep Learning Specialization
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Imperial College London
Mathematics for Machine Learning Specialization
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Stanford University
Machine Learning
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Projects

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