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Machine learning, data engineering, and applied AI—from research to production.
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MLOps in Practice: Shipping Models That Actually Stay Working
Hard-won lessons from deploying ML models in financial services — monitoring, drift detection, feature pipelines, and why the model is never really the hard part.
The Rise of Large Language Models: How GPT Changed Everything
An exploration of how transformer-based language models reshaped AI—from the attention mechanism to emergent capabilities and what it all means for practitioners.
Building RAG Systems: Beyond Simple Vector Search
A hands-on guide to production-grade Retrieval-Augmented Generation — hybrid search, re-ranking, evaluation frameworks, and the failure modes nobody warns you about.