Antti Saukko
Lead Machine Learning Platform Engineer, Tech Fellow (Managing Director)
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAntti Saukko is a seasoned machine learning platform engineer and tech fellow with over a decade of experience designing scalable ML and big data systems, currently leading ML platform efforts at Goldman Sachs from the San Francisco Bay Area. His background spans end-to-end data engineering, applied ML, and production architecture—shaped by senior roles at Verizon Media and a long tenure building analytics and embedded/mobile software at Nokia. Antti blends deep hands-on expertise in Spark/Scala, Python, TensorFlow, and C++ with strategic platform leadership, driving reliable model deployment and data workflows in large enterprises. He has a track record of moving research-grade models into production and has worked on predictive signal analytics, biometric data, and cross-platform mobile architecture—skills that reflect both breadth and low-level systems understanding. Known for pragmatic engineering and cross-functional influence, he also remains reachable and collaborative, reflecting a practical, service-oriented approach to platform stewardship.
10 years of coding experience
19 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of HelsinkiB.Sc, Computer Science, B.Sc, Computer Science at Pohjois-Savo Polytechnic School of Engineering
Github Skills (99)
yahoo10
tflint10
baidu10
cognitive-services10
azure-cosmos-db9
assetbundle9
portable9
spark-ml9
gradient9
model-compression9
lightgbm9
screeps9
neural-architecture-search9
scalable9
cml9
Programming languages (5)
Github contributions (5)
anttisaukko/nni
Jan 2020 - Jul 2022
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
Contributions:2 pushes in 2 years 6 months
pythonneural-architecture-searchtensorflowhyperhyperparameter-tuning
anttisaukko/horovod
Jan 2020 - Mar 2020
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Contributions:3 pushes, 1 branch in 2 months
pytorchmxnetdeep-learningmachine-learningapache
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