Alkis Polyzotis
Neoklis (Alkis) Polyzotis is a technical lead in the machine learning platform team at Databricks. Before Databricks, he worked at Google building data/model evaluation tools for TensorFlow Extended and a catalogue for Google's internal data lake. He also held a faculty position at UC Santa Cruz. He holds a PhD in Computer Sciences from the University of Wisconsin at Madison, and an engineering diploma from the National Technical University of Athens, in Greece.
Alkis Polyzotis's posts
- Data Science and ML
Using MemAlign to Improve Evaluation of Traditional Machine Learning in Genie Code
11 min read - AI Engineering
coSTAR: How We Ship AI Agents at Databricks Fast, Without Breaking Things
16 min read - Announcements
Building Custom LLM Judges for AI Agent Accuracy
5 min read - Announcements
MLflow 3.0: Build, Evaluate, and Deploy Generative AI with Confidence
12 min read - Announcements
Introducing Enhanced Agent Evaluation
14 min read - AI Engineering
Streamline AI Agent Evaluation with New Synthetic Data Capabilities
8 min read - Data Science and ML
Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation
8 min read - Data Science and ML
Announcing Agent Bricks Custom Agents and Agent Evaluation
9 min read - Data Engineering
Lakehouse Monitoring: A Unified Solution for Quality of Data and AI
5 min read - Data Science and ML
Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2
8 min read
Showing 1 - 10 of 12 results
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