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Salut, my name is Sebastian.

I'm the lead engineer (ML/MLOps) @metro.digital, working on recommender systems across Metro's e-commerce platform.

Topics

  • model serving / service mesh
  • online Bayesian A/B experimentation
  • representation-based learning for recommendation systems
  • low latency approximate nearest neighbor search (vector similarity)
  • model & data governance, data quality and observability

You can reach me at [email protected]

Sebastian Klatt's Projects

alac icon alac

Git mirror of the official ALAC (Apple Lossless Codec) implementation.

alibi icon alibi

Algorithms for explaining machine learning models

alibi-detect icon alibi-detect

Algorithms for outlier, adversarial and drift detection

consul icon consul

Consul is a tool for service discovery, monitoring and configuration.

dist-keras icon dist-keras

Distributed deep learning with Keras and Apache Spark.

dkron icon dkron

Dkron - Distributed, fault tolerant job scheduling system http://dkron.io

dotfiles icon dotfiles

β€œIt's like bringing an .emacsrc to a vim fight.β€œ

elephas icon elephas

Distributed Deep learning with Keras & Spark

hammerspoon icon hammerspoon

Staggeringly powerful OS X desktop automation with Lua

kju icon kju

lightweight posix job queuing utility

mlserver icon mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

neomake icon neomake

A plugin for asynchronous :make using Neovim's job-control functionality

pam icon pam

Novel method to translate spatial anatomical data into spiking neural networks (SNNs).

qdrant icon qdrant

Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/

seldon-core icon seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

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