Resume

View my complete qualifications, experience, and achievements below.

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Technical Skills

Programming Languages

  • Python - Advanced proficiency in data science, machine learning, and web development
  • Java - Object-oriented programming and software development
  • C++ - Data structures, algorithms, and system programming
  • JavaScript - Frontend development and web applications
  • SQL - Database design and query optimization

Frameworks & Libraries

  • Machine Learning: scikit-learn, TensorFlow, PyTorch, pandas, NumPy
  • Web Development: React, Node.js, Flask, FastAPI
  • Data Visualization: Matplotlib, Seaborn, Tableau
  • Database: MongoDB, SQLite, PostgreSQL

Tools & Technologies

  • Version Control: Git, GitHub
  • Cloud Platforms: Google Cloud, AWS
  • Development Tools: VS Code, Jupyter Notebooks, Docker
  • AI/ML Tools: LangChain, HuggingFace, ChromaDB, OpenAI API

Technical Areas of Interest

Artificial Intelligence & Machine Learning

I am deeply passionate about AI and ML, particularly in their applications to solve real-world problems. My interest spans from foundational machine learning algorithms to cutting-edge developments in large language models and neural networks. I enjoy exploring how AI can be applied across different domains, from cybersecurity to scientific research.

Cybersecurity & Data Science

The intersection of cybersecurity and data science fascinates me. I'm particularly interested in how machine learning can be used to detect threats, analyze security patterns, and protect systems from cyber attacks. My experience in data analysis competitions has shown me the power of combining statistical analysis with domain expertise.

Full-Stack Development

I enjoy building complete applications that integrate frontend interfaces with robust backend systems. My interest lies in creating user-friendly applications that leverage AI capabilities, such as the contextual chatbot extension I developed. I'm particularly drawn to projects that solve practical problems through innovative technology solutions.

Research & Innovation

As a student researcher focused on applying AI in science, I'm interested in how artificial intelligence can accelerate scientific discovery and research processes. I'm excited about the potential for AI to enhance data analysis, automate research workflows, and provide new insights in various scientific domains.