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: Primary language for ML/DL and scripting (90%)
  • C/C++: Core logic building and DSA (85%)
  • JavaScript: Interactive web applications (75%)

Web Development

  • Frontend: HTML5, CSS3, JavaScript
  • Backend: Flask (Python), REST APIs
  • Full-stack Projects: Deployed using GitHub + GCP

Databases

  • SQLite & MySQL: Relational DBs for backend and analysis
  • DBMS Concepts: Normalization, indexing, transactions

Machine Learning & Deep Learning

  • Frameworks: PyTorch, TensorFlow, scikit-learn
  • Concepts: CNNs, Transfer Learning, Image Augmentation
  • Projects: Real-time inference, evaluation using Confusion Matrix, Accuracy, F1 Score

Developer Tools

  • Version Control: Git, GitHub
  • IDE & Environments: VS Code, Google Colab, Jupyter

Cloud

  • Google Cloud Platform: Model deployment and hosting

Core Computer Science

  • DBMS, OS, CN, COA: Academic excellence in foundational subjects
  • DSA: Regular practice on LeetCode & Codeforces