Uman Shahzad is a CEO and seasoned software leader with 11 years of experience building backend systems and operational tooling from New York. He blends strategic leadership with hands-on engineering, contributing to high-impact open-source projects like netdata (cloud request metrics, eBPF collectors, OOM tracking) and the IPinfo CLI. Uman’s work spans backend development, DevOps automation, and systems-level observability, showing a knack for turning complex infra problems into actionable metrics and tooling. He prioritizes long-term quality and measurable value, guiding teams to produce world-class solutions while navigating day-to-day business complexity. A Hunter College computer science graduate, he pairs entrepreneurial vision with practical engineering rigor—often surfacing insights through monitoring and automation that others miss.
11 years of coding experience
Bachelor of Arts (BA) Computer Science, Bachelor of Arts (BA) Computer Science at Hunter College
Official Command Line Interface for the IPinfo API (IP geolocation and other types of IP data)
Role in this project:
Back-end Developer
Contributions:48 releases, 284 reviews, 286 commits in 2 years 1 month
Contributions summary:Uman's primary contributions revolve around building and improving the command-line interface for the IPinfo API. They implemented core features for command-line interaction, added support for various subcommands, and integrated with the IPinfo API. Their work involved the use of the "urfave/cli/v2" library for command-line argument parsing, generation of auto-completion scripts for Bash and Zsh, and implemented functionality for fetching IP and ASN details.
Contributions:107 reviews, 11 commits, 20 PRs in 4 months
Contributions summary:Uman primarily contributes to the ACLK-NG component of the netdata project, focusing on backend functionality. Their work includes adding logging for HTTP access, modifying query handling, and implementing charts related to cloud request types. They also introduced new charts and metrics for tracking cloud request types and implemented eBPF based collectors for measuring hard and soft IRQ latency. The user also made a contribution to OOM kill tracking.
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