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Daniel Lozovsky

AI Systems Engineer & Network Infrastructure Developer

Daniel Lozovsky is an AI systems engineer and independent software builder with enterprise experience at AT&T, Microsoft, and Accenture, where he led cloud infrastructure and automation initiatives at scale. He has contributed to AI research at NASA and currently builds IPPulse — a network intelligence platform for developers, sysadmins, and small teams.

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Areas of Expertise

IP Intelligence & Geolocation

IP lookup, geolocation APIs, ASN data, and privacy detection for developers and network teams.

DNS & Network Diagnostics

DNS propagation, WHOIS lookup, port scanning, and network troubleshooting tools.

Agentic AI & Automation

Agentic AI systems, no-human-in-the-loop remediation, and cloud infrastructure automation at enterprise scale.

Uptime & Infrastructure Monitoring

Website uptime monitoring, user experience awareness (UXA), and alerting strategies for small businesses and DevOps teams.

Cloud & Platform Engineering

Cloud automation, CI/CD pipelines, and infrastructure-as-code across AWS, Azure, and GCP.

Network Security

DNS leak testing, WebRTC leak detection, VPN analysis, and network privacy hardening.

Career Highlights

  • AT&TLed cloud infrastructure modernization and large-scale network automation initiatives across enterprise environments.
  • MicrosoftContributed to cloud platform reliability engineering and automated deployment pipelines at scale.
  • AccentureDelivered cloud automation and DevOps transformation projects for Fortune 500 clients.
  • NASAContributed to AI research projects, applying machine learning to mission-critical systems.
  • IPPulseFounder and sole developer of IPPulse — an IP intelligence and network diagnostics platform built for developers, sysadmins, and small teams.

Articles by Daniel