Technical Proficiency

A dynamic blend of programming, web development, and machine learning skills — refined through hands-on projects, internships, and continuous learning.

All Languages Web Dev Databases ML/DL Tools Cloud CS Core

Programming Languages

  • Python: ML/DL and scripting (90%)
  • C/C++: Logic building and DSA (85%)
  • JavaScript: Web apps (75%)
  • TypeScript: Typed codebase (70%)

Web Development

  • Frontend: HTML, CSS, JS, React, TypeScript, ReactMarkdown
  • Backend: Flask, Node.js, REST APIs
  • AI Integration: OpenRouter, Hugging Face BLIP
  • VS Code UI: React WebView

Databases

  • SQLite & MySQL: Relational DBs
  • Concepts: Indexing, normalization, transactions

Machine Learning & Deep Learning

  • Frameworks: PyTorch, TensorFlow, scikit-learn
  • Concepts: CNN, Transfer Learning, Metrics

Developer Tools

  • Git, GitHub for version control
  • VS Code, Colab IDEs
  • Webpack for bundling

Cloud

  • GCP: Hosting and deployment

Core CS

  • Subjects: DBMS, OS, CN, COA
  • DSA Practice: LeetCode & Codeforces