Antoine Collet
Software Engineer, Architect, Machine Learning Engineer at Alato
Auckland, Auckland, New Zealand
Summary
👤
Senior🎓
Top SchoolAntoine Collet is a versatile software engineer and machine learning architect with 17 years of experience building production ML systems, distributed backends and data pipelines from research to deployment. Currently based in Auckland, he combines hands-on engineering and architectural leadership—recently shaping ML platforms at Equilibrium Energy and now Alato—while also founding and iterating on domain projects like Spotter, an earth-observation change-detection platform. He has led teams to deliver large-scale crawling, document and image segmentation models, on-prem deep learning pipelines, and real-time task queues (contributing retries, lifecycle and dashboard features to the MRQ Redis-based worker). Comfortable across Python, React, Redis, Elasticsearch and cloud infrastructure, he pairs pragmatic product focus with an ability to implement low-level systems (e.g., taskqueue internals and CI/CD) that keep models reliable in production. An early career background in real-time multimedia and semantic systems gives him a taste for integrating novel data sources (SAR, optical, text) into robust ML products.
17 years of coding experience
15 years of employment as a software developer
Master Computer Science, Master Computer Science at SUPINFOMaster Computer Science, Master Computer Science at Oxford Brookes UniversityBaccalaureat General, Baccalaureat General at Jules Vernes, Nantes
English, French, Spanish
Github Skills (16)
task-queue10
mongodb10
python10
redis10
mongodb-database10
flask-ask9
flask9
gevent9
dashboard9
rest-api8
api-rest8
testing8
api-design8
restful-api8
dockers7
Programming languages (3)
Github contributions (5)
pricingassistant/mrq
Mar 2014 - Jul 2015
Mr. Queue - A distributed worker task queue in Python using Redis & gevent
Role in this project:
Backend Developer
Backend DeveloperContributions:23 commits, 3 pushes in 1 year 5 months
Contributions summary:Antoine's contributions primarily focused on enhancing the core functionality of the MRQ (Mongo Redis Queue) task queue system. They introduced and refined features related to task retries, including adding a retry mechanism and cancel functionality. Further, the user modified the job lifecycle and the dashboard, including the addition of API endpoints for job management and the visual enhancements of the dashboard, demonstrating a focus on both backend logic and user-facing components.
asynchronous-taskspythonredisrqgevent
antoine-collet/arq
May 2022 - Sep 2022
Fast job queuing and RPC in python with asyncio and redis.
Contributions:16 pushes in 3 months
asynchronous-tasksrpcmultithreadingpythonredis
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