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Joined November 2012
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- Following 15
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RAG isn't a silver bullet! Large context windows hide errors. Build robust LLM apps with strong data ingress (e.g., local PDF parsing via Docling) & rigorous model evaluation. #LLMOps #AIEngineering
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Modern data engineering demands robust, real-time pipelines with dbt & Spark for scalable lakehouse architectures. Get faster, accurate insights! What's your biggest data challenge? #DataEngineering #ModernDataStack
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Engineering careers demand deep tech & soft skills. AI reshapes the landscape; adaptability & influence are key for growth. Master complex tech & lead teams effectively. #EngineeringLeadership #CareerGrowth
Jun 11
Modern data engineering means real-time insights & trusted data. Leverage Lakehouses, Streaming, dbt, & Spark for robust pipelines. What's your biggest data challenge? #DataEngineering #ModernDataStack
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Jun 11
Artificial intelligence is rapidly expanding its reach, reshaping how we develop, research, and deploy technology.
From boosting developer productivity to simulating the most extreme phenomena in the universe, AI models are proving invaluable.
Claude Code is
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Jun 10
Building production-ready AI systems demands precision across every layer.
Optimizing RAG architecture requires looking beyond basic `extract_text` functionality.
True RAG quality hinges on understanding deeper document intelligence:
🔹 **Document Signals:**
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Jun 10
The journey from groundbreaking AI models to reliable, impactful production systems is complex, often revealing critical pitfalls. Avoiding common Retrieval-Augmented Generation (RAG) mistakes, for instance, is proving essential for robust enterprise document
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Jun 9
AI Engineering is rapidly evolving, pushing the boundaries of what's possible in production.
While RAG architectures are foundational for robust LLM applications, getting them right in production demands careful attention to common pitfalls.
For sophisticate
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Jun 8
Modern data engineering demands robust, scalable pipelines.
We're seeing a convergence of technologies designed for efficiency and speed.
The Lakehouse architecture is bridging the gap between data lakes and data warehouses, offering:
🔹 The flexibility and s
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Jun 8
AI engineering is complex: deep understanding, optimization, safety, & ethics are key. From math insights to robust tools like Nemotron 3.5, it's about balancing innovation & safety. #AIEngineering #AISafety
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Jun 7
Data engineering powers up with Lakehouse architecture & real-time streaming data! Modern stack tools like dbt & Spark build robust, scalable platforms for instant insights. #DataEngineering #Lakehouse
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Jun 7
AI doubles code output, but quality, trust, & tech debt are growing challenges. Engineering leaders need new skills to navigate this era, blending tech prowess with soft skills. #AIinEngineering #TechLeadership
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Jun 6
AI doubles code output, but adds tech debt & quality concerns. Engineering leaders must "slow down to speed up," focus on quality, and empower teams beyond just tech. #AILeadership #Engineering
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Jun 6
Modern Data Stack fuels real-time insights! Build resilient data pipelines with Spark, dbt, & Lakehouse architecture. What's your top data challenge? #DataEngineering #ModernDataStack
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Jun 5
AI agent/LLM production pains? From local file access & prompt opt to safety, new tools streamline workflows. What's YOUR biggest challenge? #AIEngineering #LLMOps
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Jun 4
AI promises speed, but often creates tech debt & busywork. Inspired by Kelsey Hightower, true leadership means "slowing down to speed up" – focusing on quality & people, not just code volume. #EngineeringLeadership #AI
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Jun 2
Code is cheap. The real value in AI Engineering isn't building, but the judgment to create impactful production systems. Master LLMOps, RAG & agents. #AIEngineering #LLMOps
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Jun 2
Data engineering is evolving! Lakehouses & real-time streaming power modern insights. Master dbt & Spark for reliable data at speed. What's your biggest challenge? #DataEngineering #ModernDataStack
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Jun 1
AI continues to push boundaries, not just in complex systems but in fundamental logic that empowers better decision-making.
Even a murder mystery like "Knives Out" highlights the practical power of Bayesian inference for structured problem-solving.
On the te
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