👋 Welcome to my portfolio
AI & Machine Learning Developer focused on Deep Learning, Computer Vision, and Intelligent Systems.
I build data-driven AI solutions using Python, PyTorch, and modern ML frameworks. My work includes CNN-based Nepali Handwritten Character Recognition with character-wise accuracy analysis.
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AI & ML Development
Deep Learning & Model Training
BSc. CSIT
Butwal Multiple Campus
Tribhuvan University
I am a BSc. CSIT student at Tribhuvan University with a strong focus on Artificial Intelligence and Machine Learning. My primary interest lies in building intelligent systems that can learn from data, recognize patterns, and make meaningful predictions.
I specialize in Python-based ML development using PyTorch, Scikit-Learn, Pandas, and NumPy. My work includes developing Convolutional Neural Network (CNN) models for Nepali Handwritten Character Recognition with detailed character-wise accuracy analysis.
I continuously improve my understanding of deep learning, model optimization, data preprocessing pipelines, and real-world AI deployment strategies.
Browse My Recent
Core Expertise
Scikit-Learn, Model Evaluation, Feature Engineering, Data Preprocessing
PyTorch, CNNs, Neural Network Training, Optimization
Python, JavaScript
Pandas, NumPy, Matplotlib, Seaborn, Git, OpenCV
HTML, CSS, JavaScript, Node.js
Beyond the Code
Breaking down complex AI challenges into clear steps.
Continuously learning frameworks, papers, and tools independently.
Conducting experiments and extracting meaningful insights from data.
Ensuring code quality, dataset consistency, and model accuracy.
Balancing academics, research, and projects efficiently.
Working effectively in team environments and shared projects.
Research Focus
Currently working on Nepali Handwritten Character Recognition using Convolutional Neural Networks (CNNs). The research focuses on character-wise accuracy analysis across 58 classes and performance optimization through dataset refinement and architectural tuning.
I am particularly interested in Computer Vision, model generalization, and building AI systems that can adapt to real-world variability.
My Journey
Pursuing a Bachelor's degree in Computer Science and Information Technology with a strong focus on Artificial Intelligence, Machine Learning, and Data Science. Developing skills in programming, algorithms, and intelligent systems.
Developed a convolutional neural network model to recognize Nepali handwritten characters and analyze character-wise accuracy.
Designed and implemented machine learning models using Scikit-Learn and deep learning models using PyTorch. Worked on data preprocessing, feature engineering, model training, evaluation, and optimization while building practical AI applications.
Completed a workshop on frontend web development, covering HTML, CSS, JavaScript, and responsive design. Built interactive webpages and gained foundational knowledge of modern web development practices.
