Mehdi Gmira is a hands-on software leader and founder with 10 years of experience building scalable backend systems and machine learning-driven products from Paris. As former VP Engineering at Wiremind he grew and led 30–40 software and ML engineers while staying close to high-impact code, shipping stability and performance for revenue-management systems. He now builds Tower, an AI-native startup focused on helping teams scale without process bloat, and is hiring founding engineers for broad ownership and real equity. His engineering work spans Python, async architectures, Redis, PostgreSQL and ETL pipelines, with open-source contributions improving robustness in distributed worker queues. Trained in geostatistics and statistics at Mines Paris and Pierre et Marie Curie, he combines quantitative rigor with pragmatic product delivery. Colleagues would note his preference for fast, clean execution over managerial distance—he still debugs production issues himself.
10 years of coding experience
10 years of employment as a software developer
MP* Mathematics Physics, MP* Mathematics Physics at Lycée Louis Le Grand
Master's degree in Science and Engineering Geostatistics, Master's degree in Science and Engineering Geostatistics at Mines Paris - PSL
MPSI Mathematics Physics, MPSI Mathematics Physics at Lycée Descartes
Master's degree Statistics, Master's degree Statistics at Pierre and Marie Curie University
Mr. Queue - A distributed worker task queue in Python using Redis & gevent
Role in this project:
Back-end Developer & Automation Engineer
Contributions:18 commits, 8 PRs, 12 pushes in 1 year
Contributions summary:Mehdi implemented features related to job abort handling and worker management within the Mr. Queue project. Their contributions included saving exception tracebacks upon abort, adding a test task for abort scenarios, and incorporating a `max_time` configuration parameter to control worker execution duration. Furthermore, they refactored and added tests for the `max_time` functionality, enhancing the robustness of the worker process. These efforts suggest a focus on improving the queue's reliability and control.
Contributions:31 commits, 33 pushes, 1 branch in 2 months
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