Writing & Thinking
On data engineering, AI, robotics, and digital growth.
Deploying Data Applications with Kubernetes: The Complete Guide
Master Kubernetes for data workloads. Learn pods, services, deployments, statefulsets, Helm, and production patterns for running scalable, reliable data applications.
AI Ethics and Responsible Development: A Practical Guide
Explore the ethical considerations every AI practitioner must understand. Learn about bias mitigation, privacy preservation, transparency, and accountability in AI systems with real-world examples.
PostgreSQL Performance Optimization: Practical Tips for Data Engineers
Master PostgreSQL performance tuning. Learn indexing strategies, query optimization, configuration tuning, and monitoring techniques for faster, more scalable databases.
My Goal to Travel the Whole World: Lessons from the Journey So Far
Following my dream of visiting every country and the lessons learned along the way. Travel philosophy, practical tips, and balancing wanderlust with real life.
Building ViteFunnels: My Entrepreneurship Journey from Side Project to Agency
The story behind founding ViteFunnels - a digital solutions agency. Learn about the challenges, lessons, and insights from building a service business while working full-time.
Getting Started with TensorFlow for Deep Learning: A Practical Guide
A comprehensive introduction to building neural networks with TensorFlow 2 and Keras. Learn deep learning fundamentals, model architecture, training best practices, and deployment strategies with real-world examples.
Docker Essentials for Data Engineers: Containerize Your Data Applications
Master Docker containerization for data engineering. Learn images, containers, volumes, networking, Docker Compose, and best practices for building reproducible data pipelines.
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