Dakota Szabo
Staff Software Engineer, ML Infrastructure at Shopify
New York, New York, United States
Summary
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Senior🎓
Top SchoolDakota Szabo is a hands-on technical leader and staff software engineer specializing in ML infrastructure with 14 years of experience building reliable, observable, and scalable distributed systems. Based in New York, he has led SRE and cloud teams at startups and enterprises—shaping Kubernetes, Terraform, GCP/AWS architectures and operational practices as Head of SRE at Replicant and earlier as an SRE manager at Goldman and engineer at Google. He designed a multi-year sharding and geo-redundancy strategy for a monolithic storage system, drove SLI/SLO adoption and blameless postmortems, and has practical experience meeting SOC2/PCI/HIPAA compliance needs. Dakota pairs deep implementation chops (contributions to Google Assistant SDK samples, audio streaming and protobuf work) with strategic infrastructure planning, making him effective at moving ML and real-time systems from prototype to production.
14 years of coding experience
17 years of employment as a software developer
High School Diploma, High School Diploma at The Hotchkiss SchoolBS Computer Science, BS Computer Science at Rensselaer Polytechnic Institute (RPI)
Github Skills (12)
assistants10
vitual-assistant10
api10
python10
apidoc10
grpc10
protocol-buffers10
virtual-assistant10
thread9
multithreading9
hyper-threading9
threaded9
Programming languages (5)
Github contributions (5)
googlesamples/assistant-sdk-python
Mar 2017 - Apr 2017
Samples and bindings for the Google Assistant API
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 2 comments in 1 month
Contributions summary:Dakota primarily contributed to the Google Assistant API Python samples. Their work involved adding gRPC channel options and SSL credentials, updating protocol buffer definitions, and integrating support for conversational state. Key changes include modifying the embedded assistant client, modifying the main application, and updating the protobuf definitions, which indicates the user was actively working on the core functionality and configuration of the API. This is supported by changes to audio handling and volume controls within the assistant client.
protocol-buffersapipythonassistantgoogle
szabodabo/openmrn
Apr 2018 - Jun 2020
OpenMRN (Open Model Railroad Network)
Contributions:32 pushes, 10 branches in 2 years 2 months
openmrnmodel-railroadrailroad
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