LinkedIn Content Strategy & Writing Style
BigData | Data Engineer | DataOPS | DevOps | Full-Stack developer | Back-End Developer | Mobile App Developer
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Eyobed Feleke positions himself as a high-velocity technical architect and community catalyst who bridges the gap between complex data engineering and the emerging frontier of agentic AI. His content strategy centers on rigorous, open-source experimentation, moving beyond theoretical AI hype to document granular wins like building machine-verifiable LLM benchmarks and optimizing Apache Iceberg metadata structures. He is notable for his radical transparency in technical execution, often sharing specific model adapters, dataset rubrics, and "tactical unit" team workflows that prove his proficiency across the full stack. The most compelling intersection in his work is his dual commitment to bleeding-edge AI orchestration and local ecosystem building, where he simultaneously fine-tunes low-parameter models on free hardware while spearheading the inaugural Ethiopian Data People Community to formalize the region’s professional data landscape.
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🌟 **Calling All Data Enthusiasts in Ethiopia!** 🌟 Hello, amazing people! As we witness the rapid evolution of technology in Ethiopia, the potential within the big data arena is immense. I am pass…
Ethiopian Data People Community Meeting: November 28, 2025 On November 28, 2025, we held our inaugural meeting of the Ethiopian Data People Community, and it was an extraordinary experience. The gath…
Agentic AI is leveling up! 🚀 I’ve been deep-diving into Anthropic’s Model Context Protocol (MCP) and OpenClew (Microsoft Agent Framework) lately, and the synergy is incredible. While MCP creates…
🧊 Apache Iceberg: A Modern Table Format for Data Lakes Apache Iceberg is an open table format that brings database reliability (ACID transactions, schema evolution, time travel) to massive dataset…
I built a benchmark that catches AI sales agents lying. Here's what I found. Most LLM benchmarks test whether a model can answer questions correctly. But what about models deployed to write B2B outre…
The "Technical Deep-Dive" Goal: Showcases professional leadership, architecture, and technical versatility. Headline: 7/7 on DataAgentBench: How we built a multi-DB agent under pressure. 🚀 Our te…
