I'm an Electrical Engineer passionate about bridging the gap between engineering and technology. My expertise spans across Machine Learning, DevOps, and Data Science, with a special focus on applying AI solutions to real-world problems, particularly in healthcare and infrastructure automation.

• 🔬 Research Focus: Medical Imaging, Computer Vision, and Deep Learning
• ☁️ Cloud & DevOps: Azure, Kubernetes, AWS FinOps, Infrastructure as Code
• 📊 Data Science: Advanced analytics, visualization, and predictive modeling
• 🎯 Current Interest: MLOps, Model Context Protocol (MCP), and scalable ML infrastructure

• Breast Cancer Metastasis Classification ⭐ 5 stars

  • Multi-stage cancer classification using Recursive Feature Elimination
  • Advanced deep learning techniques for medical diagnosis

• Retinal OCT Image Classification

  • CNN and Transfer Learning for retinal disease detection
  • Computer vision applied to ophthalmology

• COVID-19 CT Classification

  • Deep learning for COVID-19 detection using CT scans
  • Contributing to pandemic response through AI

• Stock Market Forecasting
  • 7-year analysis of FAANG stocks (META, AMZN, AAPL, NFLX, GOOG)
  • Advanced time series forecasting with deep learning

• Prometheus-Grafana Monitoring

  • Complete monitoring solution for Linux servers and MSSQL
  • Infrastructure observability and alerting

• Kubernetes for ML Engineers

  • MLOps infrastructure and deployment strategies
  • Bridging ML and production environments

• AWS FinOps MCP Server

  • Cost optimization and financial operations automation
  • Modern cloud cost management solutions

• 📚 112 Repositories: Extensive portfolio covering ML, DevOps, and data science
• ⭐ 8 GitHub Stars: Recognition from the developer community
• 👥 Active Contributor: 50+ contributions in the last year
• 🎓 Research Publications: Available on Google Scholar

• 🚀 MLOps: Building scalable machine learning infrastructure
• 🤖 Model Context Protocol (MCP): Next-generation AI model interaction
• ☁️ Cloud Cost Optimization: FinOps practices and automation
• 📊 Advanced Analytics: Real-time data processing and visualization

• Advanced Kubernetes patterns for ML workloads
• Modern DevOps practices and CI/CD pipelines
• Cloud-native architecture and microservices
• Latest developments in AI/ML research

I'm always interested in collaborating on innovative projects, especially those involving:

• 🏥 Healthcare AI: Medical imaging and diagnostic systems
• 🚀 MLOps: Scalable machine learning infrastructure
• ☁️ Cloud Solutions: DevOps and infrastructure automation
• 📊 Data Analytics: Business intelligence and visualization