Deep dives into technology, research findings, and technical insights from my journey in AI, blockchain, and software engineering.
Deep dive into U-NET architecture for image denoising, exploring encoder-decoder structure, skip connections, and practical applications in medical imaging and computer vision.
Comprehensive guide to selecting the right ML model for your problem, covering trade-offs between complexity, interpretability, and computational requirements.
Exploring robust evaluation methodologies including cross-validation, confidence intervals, statistical testing, and business metric alignment for ML models.
Understanding immutability in programming languages, its benefits for concurrent systems, and practical implications in functional programming and distributed systems.
Leveraging Elixir's concurrency model and Phoenix framework to build scalable, real-time APIs that handle millions of requests.
Comprehensive guide to building robust, secure, and scalable REST APIs using Django REST Framework with best practices.