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Awais NazirSOFTWARE ENGINEER
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Freelance / Case study

FaceMe SDK Integration Backend

A facial recognition backend built for a Fiverr client, deployed across Windows, Linux, and Jetson edge devices.

Timeframe

Freelance, 2025

Built with
  • Python
  • FaceMe SDK
  • GStreamer
  • Jetson
FaceMe SDK Integration Backend overview
01 / Engineering notes

The problem

The client needed a facial recognition system built on the FaceMe SDK that could run reliably across different hardware, including resource-constrained Jetson devices.

02 / Engineering notes

What I delivered

  • Built and deployed the integration backend across Windows, Linux, and Jetson ARM64.
  • Tracked down and fixed platform-specific issues along the way,
  • including a GStreamer incompatibility on Jetson and SDK lock contention bugs that were causing instability.

Results

The outcome.

Delivered a stable facial recognition backend running consistently across multiple platforms for a paying client.

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