Pavel Salovskii@paul_salovsky463
1
Events attended
1
Submissions made
1 year of experience
About me
I lead a team of Data Science and Software Engineers, driving technical architecture and management for various AI, ML, and Big Data products. I have over 17 years of experience. I am passionate about applying AI and ML solutions to different domains and industries, such as Medical Science, Finance, LegalTech, and MedTech. I have successfully developed and launched a Medical Science Big Data product on the Cloud platform, using video analytic techniques and image processing algorithms. I have also developed an innovative ML model based on GPT technology for the Board of Members AI-Copilot and built several Big Data products for Lead Generation and Risk Scoring. My mission is to create value and impact through AI and ML and to empower my team and clients with the latest technologies and methodologies such as Generative AI.
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Partenit Gate - AI That Makes Robots Accountable
For the “AI Meets Robotics” Hackathon, we built a live, interactive warehouse simulation where operators manage multiple robots in real time. In our system, AI is not the final decision-maker. It acts as a translator and planner — generating tasks and interpreting high-level goals. The actual execution is controlled by Partenit Gate, a deterministic reasoning layer that verifies every proposed action against real-world constraints: safety zones, speed limits, human proximity, and operational rules. The Gate can ALLOW, MODIFY, or BLOCK actions. If a robot attempts something unsafe, the system does not fail open — it enforces constraints physically and provides a clear reasoning trace explaining why. The result is a hybrid architecture where AI adds flexibility, but deterministic logic guarantees safety, auditability, and operator trust. This project demonstrates how AI and robotics can work together responsibly — not through vibes, but through verified decisions.
15 Feb 2026
