Thoughts, stories and ideas from a Data Engineer, Software Developer, Passionate Speaker, Gym Enthusiast and Adventurer
Effective AI implementation relies not only on the quantity of data but also on technical expertise. Let's explore the significance of having a skilled data team for AI projects, learn about the Small Data movement and examine how far we can go with no-code or low-code AI platforms.
Explore how Netflix Maestro and Apache Airflow, two powerful workflow orchestration tools, can complement each other. Delve into their features, strengths, and use cases to uncover whether they are companions or competitors.
Explore the potential of Large Language Models (LLMs) changing the future of mental healthcare and learn about how to apply Parameter-Efficient Fine-Tuning (PEFT) to create an AI-powered mental health support chatbot by example
Explore the essence of pragmatic Data Engineering through a task-solving journey and learn why you should ask WHY?
Discover the basics of using Gemini with Python via VertexAI, creating a Web UI with NiceGUI and using Jinja2 to construct modular prompts
Discover the basics of using Gemini with Python via VertexAI, creating APIs with FastAPI, data validation with Pydantic and the fundamentals of Retrieval-Augmented Generation (RAG)
Discover the basics of extensibility with BigQuery User-Defined Functions (UDFs) with a little Easter egg hunt game
Learn how to use Apache Flink with this demo that uses Stanford CoreNLP to analyze the Twitch chat in real-time
