Projects using Python in Lviv
Projects using Python in Lviv
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Serhii Vysochanskyi
pro
Pinpoint | Discovery AI platform
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42
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Yurij Moldavchuk
Web & Mobile platform for Clinics and Hospitals
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6
Message
1
Pavlo Krasnytsia
Botpress | The Complete AI Agent Platform
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4
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Danylo Melnychuk
Task Management Platform
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4
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Serhii Vysochanskyi
pro
How long does it take to build such app?
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99
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1
Pavlo Krasnytsia
Developed a risk intelligence and simulation platform for DeFi protocols that helps teams model exposure, optimize parameters, monitor solvency, and respond to market stress in real time. The project demonstrates advanced quantitative systems thinking, protocol analytics, and robust dashboard-driven product engineering.
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151
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Danylo Melnychuk
Healthcare AI platform
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5
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3
Serhii Vysochanskyi
pro
Dotify | AI-powered rating platform
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134
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Pavlo Krasnytsia
Created a real-time blockchain data platform that streams on-chain data into developer and analytics workflows with low-latency pipelines, indexing, and database delivery. This project showcases strong full-stack architecture, data engineering, and blockchain infrastructure capabilities for modern financial applications.
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157
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Serhii Vysochanskyi
pro
Gastro Cockpit
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88
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1
Pavlo Krasnytsia
Developed a real-time on-chain threat detection platform that monitors smart contracts, wallets, governance actions, and protocol activity to surface emerging attacks before damage occurs. This project demonstrates strong blockchain security engineering, alerting architecture, and production-grade risk monitoring at scale.
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131
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1
Pavlo Krasnytsia
Built an AI-powered smart contract auditing and continuous security platform designed to help Web3 teams identify vulnerabilities, monitor protocol risk, and reduce exploit exposure before deployment. The project highlights advanced AI-assisted analysis, blockchain security workflows, and full-stack product design for high-value decentralized systems.
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158
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Pavlo Krasnytsia
Designed and implemented workflow orchestration pipelines for AI data processing and automation systems. Built robust ETL pipelines, model execution workflows, and monitoring systems using Prefect for production-grade AI systems. Improved reliability of distributed jobs and reduced pipeline failure rates by implementing observability, retries, and task dependency management.
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112
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