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Below are some of my projects involving Sagemaker, grouped by company. Click to read more about the relevant projects and chat with me to follow up on any topic you'd like to hear more about!
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Appen AI

Formerly Figure Eight
Project: ML Platform Enhancements

I ran Appen's ML Platform, which was used by FAANG and many other startups and enterprises to automate and scale their ML practices, including running both supervised and unsupervised workloads, as well as their global annotation workforce which enabled customers to leverage our crowdsourced professionals to elastically obtain labelling and quality checking services for text, voice, image, video and LIDAR annotation, training and validation use cases.

I reported to the CTO and directed multiple full stack teams each with their own tech leads and range of engineering skills to do both regular maintenance and product enhancements using technologies like Sagemaker, React, K8s (Kubernetes), Spark, Kafka, Airflow, Spring(Boot), Ruby, Python, Java, Typescript and SQL.

Maintenance included regular updates to infrastructure, bug fixes, and performance optimizations across the platform. We migrated more and more services to K8s (Kubernetes) and Ambassador as our API gateway, where we could consolidate cross-cutting logic like auth and versioning.

Enhancements included changes to simplify the UX, kill redundant or unused features, add measurement to inform our choices, and larger efforts like Enterprise OAuth.

Read more...

Key Results

  • Ran ML platform to support 100K+ annotation jobs daily across FAANG clients
  • Reduced platform infrastructure costs by 40% through Kubernetes optimization and resource consolidation
  • Improved API gateway performance by 60% migrating to Ambassador with centralized auth via signed JWTs.

Full Details

Tommy Sullivan - AI + Full Stack Software Builder + Leader