Machine Learning Enthusiast & Learner | AI Enthusiast | Data Science Explorer

I'm a passionate CS student specializing in AI/ML, turning complex data into meaningful insights and building intelligent systems that solve real-world problems. Currently diving deep into advanced ML algorithms and exploring the fascinating world of LLMs and transformers.

• 🤖 Machine Learning & Deep Learning - Building predictive models and neural networks
• 📊 Data Science & Analytics - Extracting stories from data through EDA and statistical modeling
• 🧮 Mathematical Modeling - Applying advanced math concepts to solve ML problems
• 🗣️ Natural Language Processing - Working with text data and language models
• 🏥 AI Applications - Developing solutions for healthcare and document processing
• 🚀 Model Deployment - Taking models from notebooks to production

Languages & Frameworks:

Data Tools:

Development:

AI-powered skin disease detection system using computer vision and deep learning

• Tech: TensorFlow, Computer Vision, Medical AI
• Impact: Healthcare accessibility improvement

Multimodal deep learning system for banking document classification

• Tech: PyTorch, NLP, Computer Vision, Hybrid ML Models
• Focus: RNN/LSTM + TF-IDF fusion techniques

Comprehensive analysis of Australian early childhood education using data science

• Tech: Statistical Analysis, Research Methodology
• Domain: Educational Technology, Policy Analysis

• 📚 Large Language Models - LangChain, RAG systems, and prompt engineering
• 📈 Statistical Learning - Bayesian methods and advanced statistical modeling
• 🔍 Research - Contributing to academic papers and open-source projects

• 📚 Academic Focus: Computer Science with AI specialization
• 🌏 Location: Nepal
• 🔬 Research Interests: Document Classification, Multimodal AI, Educational Technology

I'm always excited to discuss ML projects, research opportunities, or potential collaborations!