Skills

Technical Skills

Programming Languages

  • Python - Advanced proficiency in data science, machine learning, and web development
  • C++ - Strong foundation in systems programming and algorithms
  • Java - Object-oriented programming and enterprise development
  • JavaScript - Frontend development and web applications
  • C - Systems programming and embedded systems

Machine Learning and Deep Learning Frameworks

  • PyTorch - Primary framework for deep learning research and development
  • TensorFlow - Model development and deployment
  • Keras - Rapid prototyping and model building
  • TensorFlow.js - Web-based machine learning applications

Web Technologies and Other Tools

  • Flask - Web application development and API creation
  • HTML/CSS - Frontend development and web design
  • Git - Version control and collaborative development
  • AWS - Cloud computing and deployment
  • GCP - Google Cloud Platform services
  • Azure - Microsoft Azure cloud services
  • LaTeX - Academic writing and document preparation
  • MySQL - Database management and SQL
  • PostgreSQL - Advanced database systems
  • Scikit Learn - Machine learning algorithms and preprocessing
  • OpenCV - Computer vision and image processing

Specialized Areas

  • Computer Vision - Object detection, image classification, video processing
  • Natural Language Processing - Text analysis and language models
  • Edge Computing - Model optimization for resource-constrained devices
  • Agricultural AI - Crop monitoring, pest detection, yield estimation
  • Medical Image Analysis - Ultrasound image processing and disease detection
  • Assistive Technologies - Solutions for visually impaired individuals

Research and Development

  • Model Explainability - Interpretable AI and model transparency
  • Uncertainty Quantification - Robustness and reliability in AI systems
  • Model Distillation - Knowledge transfer and model compression
  • Weakly Supervised Learning - Learning from limited annotations
  • Multiple Instance Learning - Advanced machine learning paradigms