Areas of Expertise

Artificial Intelligence & Machine Learning

• Deep Learning & Neural Networks:
  • PyTorch, TensorFlow, custom transformer architectures from scratch
  • Multi-head self-attention, positional encoding, layer normalization
  • Automated training pipelines, hyperparameter optimization, checkpointing
• Reinforcement Learning:
  • Q-Learning, Deep Q-Network (DQN), Actor-Critic algorithms
  • Custom GridWorld environments, modular framework design
  • Real-time training visualization, reproducible experiment tracking
• Graph Neural Networks:
  • GCN, GAT, GraphSAGE architectures
  • Benchmarking toolkit, standardized evaluation, comparative analysis
• Natural Language Processing:
  • Large language models (LLMs), quantized LLM inference
  • Chatbot development with FastAPI, real-time analytics, adaptive data parsing
• Computer Vision:
  • Motion magnification, Eulerian video magnification, optical flow (Lucas-Kanade)
  • Self-supervised learning, ROI amplification, non-contact diagnostics
  • Video processing, vibration analysis, heatmap visualization

Data Science & Analytics

• Data Analysis & Visualization:
  • pandas, NumPy, Matplotlib, Seaborn, interactive dashboards
  • Real-time analytics, statistical modeling, time-series analysis
  • FFT analysis, 3D graph plotting, dynamic visualizations
• Machine Learning Operations:
  • Model interpretability, hyperparameter optimization (Optuna)
  • TensorBoard integration, automated training pipelines
  • Experiment tracking, performance comparison tools
• Data Engineering:
  • Data wrangling and cleaning, efficient data workflows
  • Integration with analytics pipelines, structured data processing

Full-Stack Development

• Backend Development:
  • FastAPI, Flask, Node.js, RESTful APIs
  • Scalable backend design, asynchronous programming, response caching
• Frontend Development:
  • React, Bootstrap, JavaScript, HTML
  • Responsive UI/UX design, cross-platform compatibility
  • Interactive data visualizations, user engagement optimization
• Database Management:
  • SQL databases, data modeling
  • Efficient query optimization, database integration

Cloud, DevOps & Infrastructure

• Cloud Platforms:
  • AWS, Azure, Google Cloud
  • Cloud-native application development and deployment
• DevOps & Automation:
  • Docker, CI/CD pipelines, infrastructure as code
  • Git, GitHub, collaborative workflows, version control
• Security & Authentication:
  • CAPTCHA integration, secure user access management
  • Network security, API protection, data security protocols

Programming Languages

• Python: Advanced expertise - pandas, NumPy, machine learning, backend APIs, data analysis
• JavaScript: Frontend development, interactive applications, UI/UX enhancements
• C/C++: Systems programming, algorithm implementation, performance optimization
• Java: Object-oriented programming, backend logic, software architecture
• SQL: Database management, analytics, data-driven applications
• R: Statistical analysis, data visualization, research workflows
• HTML: Web development, semantic markup, responsive design

Cybersecurity & Risk Management

• Cybersecurity Fundamentals:
  • Network security, secure authentication, data protection
  • Risk assessment and management, security best practices
• Professional Certifications:
  • Google Cybersecurity Professional Certificate (2025)
  • IBM Data Analyst Professional Certificate (2025)
  • IRM Enterprise Risk Management Level 1 (2023)

Tools & Emerging Technologies

• Development Tools:
  • Linux, Docker, TensorBoard, Optuna
  • Python package management, modular code organization
• Project Management:
  • Structured repositories, clear project organization
  • Financial planning and budgeting (from Student Council experience)
• Emerging Technologies:
  • Quantum Computing, Vibe Coding
  • Continuous learning in cutting-edge technologies