OpenBabylon
Anton Polishko, PhD, is a technology entrepreneur and machine learning expert with extensive experience in AI infrastructure and cloud computing. Currently serving as the Founder and CTO of OpenBabylon, Anton leads efforts in AI performance optimization and model fine-tuning. In addition, Anton holds the position of Director of Machine Learning Infrastructure at PolyAgent and oversees cloud infrastructure as the Director at CoronaWhy. Previous roles include Software Engineer at Google and Helpful Bus, and CTO at ZULLOO™, along with mentoring aspiring entrepreneurs at the Founder Institute. Anton's academic background includes a PhD in Computer Science from the University of California, Riverside, where research involved innovative applications in computational biology. Anton also possesses advanced degrees in Applied Mathematics and Finance from Taras Shevchenko National University of Kyiv.
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OpenBabylon
AI isn’t ready out of the box — it needs to be trained for the real-world deployment. At OpenBabylon, we are building the post-training stack for deep model adaptation—helping enterprises and governments deploy AI that actually works through advanced fine-tuning, benchmarking, and real-world evaluation. 🔹 Model University – A systematic framework for domain-specific & sovereign AI model adaptation, covering benchmarking, fine-tuning, and real-world optimization. 🔹 Sovereign AI Models – Custom LLMs designed to align with national languages, values, and governance frameworks. 🚀 We reimagine post-training: ✅ Benchmark – Identify capability gaps & misalignment. ✅ Adapt – Fine-tune models for real-world performance. ✅ Evaluate – Monitor & measure AI across critical dimensions. ✅ Optimize – Enable continuous improvement. 🔗 www.openbabylon.com