Bhabuk Ghimire

I'm Learner

About

I'm looking forward to leveraging my skills and enthusiasm to make meaningful contributions and drive success in any endeavor.

AI Researcher

AI research is a multidisciplinary field in computer science and engineering. As a combination of theoretical foundations, practical techniques, and computational tools, AI research focuses on developing intelligent systems capable of learning, reasoning, and decision-making. It integrates machine learning, deep learning, and data science to advance automation, problem-solving, and innovation across various domains, aiming to enhance human capabilities and efficiency.

Skills

Proven ability to manage complex tasks with a strong focus on problem-solving and achieving results. Demonstrates a high level of adaptability, effectively handling challenges and delivering solutions that align with organizational goals. Strong communication and teamwork skills, ensuring efficient collaboration and project success.

Linux 50%
Python 90%
Git and GitHub 85%
Docker 60%
Pytorch 85%
Tensorflow 80%
Scikit-Learn 70%
Image Processing 75%
Pandas 75%
C/C++ 75%
Matplotlib 70%
Numpy 80%
HTML/CSS/JS 70%
Problem Solving and Collaboration 75%

Resume

A dedicated AI researcher specializing in medical imaging, with experience in developing deep learning models, analyzing complex medical datasets, and enhancing diagnostic accuracy. Known for successfully implementing advanced image processing techniques, optimizing neural networks for medical applications, and collaborating effectively with multidisciplinary teams. Adept at problem-solving and committed to continuous learning and innovation in AI-driven healthcare solutions.

Summary

Bhabuk Ghimire

Innovative and skilled AI researcher specializing in medical imaging, with experience in developing deep learning models, preprocessing medical datasets, and enhancing image-based diagnostics. Eager to contribute to advancements in healthcare through hard work, attention to detail, and strong analytical skills. Passionate about leveraging AI to improve medical imaging accuracy and efficiency

Education

Computer Science and Information Technology (B.Sc. CSIT)

2019 - 2024

Amrit Science Campus (ASCOL), Kathmandu, Nepal

Pursued a comprehensive curriculum encompassing software development, artificial intelligence, image processing, and neural networks. Engaged in practical projects that applied theoretical knowledge to real-world scenarios, enhancing problem-solving and technical skills.

Percentage: 86%

Higher Secondary Education

2017 - 2019

National School of Sciences (NSS), Lainchour, Kathmandu

Studied biology, chemistry, physics, mathematics, and English, developing analytical thinking, problem-solving abilities, and a strong foundation in scientific principles, which prepared me for advanced studies.

Grade: 3.76(A+)

Secondary Education

2017 - 2019

Everest Higher Secondary Boarding School, Kathmandu

Studied subjects like Nepali, English, Mathematics, Science and Technology, and Social Studies, fostering critical thinking, problem-solving, and analytical skills.

Grade: 3.85(A+)

Certificates

Professional Experience

Research Assistant

11/2024 - Present

NAAMII, Lalitpur, Nepal

  • Implemented and evaluated various 3D classification models, including VGG, ResNet, DenseNet, SENet, SEResNeXt, and EfficientNet, to enhance the accuracy of medical image analysis.
  • Developed and optimized pipelines for processing 3D medical images, facilitating improved visualization and interpretation of complex datasets.
  • Applied advanced segmentation techniques to 3D CT scans, enabling precise identification and delineation of anatomical structures and pathological regions.
  • Established standardized frameworks for machine learning projects, ensuring reproducibility, scalability, and efficient collaboration across research teams.
  • Utilized Docker to containerize and deploy machine learning applications, streamlining the development-to-production workflow and ensuring consistent performance across environments.

Research Intern

06/2024 - 11/2024

NAAMII, Lalitpur, Nepal

  • Implemented various 2D and 3D filtering algorithms to enhance medical images effectively.
  • Developed skills in reading and interpreting research papers, contributing to a deeper understanding of medical imaging concepts.
  • Gained proficiency in the MONAI framework, an open-source, PyTorch-based platform for deep learning in healthcare imaging.
  • Acquired experience with SimpleITK and ITK-SNAP, tools for medical image processing and visualization.
  • Focused on writing modular code to enhance readability, maintainability, and collaboration in research projects.

FuseMachine AI Fellowship 2023

01/2023 - 12/2023

  • Gained a foundational understanding of Artificial Intelligence (AI), including key concepts and applications.
  • Developed proficiency in various machine learning and deep learning algorithms, enhancing analytical and problem-solving skills.
  • Completed projects on time series analysis for temperature forecasting, neural machine translation from English to Nepali, and currency classification.
  • Deepened knowledge of the mathematical foundations underlying machine learning, deep learning, and NLP algorithms.
  • Became familiar with tools and frameworks such as TensorFlow, PyTorch, Keras, Scikit-Learn, Matplotlib, NumPy, and NLTK.
  • Developed essential soft skills, including presentation, communication, and team collaboration.

Get in Touch

If you have any questions or just want to connect, feel free to reach out.

Location

Kathmandu, Nepal

Phone

+977 980 *** ****