Emmanouil Platanios
Research Scientist at Scaled Cognition
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolEmmanouil Platanios is a research scientist and founding research lead at Scaled Cognition with 12 years of experience building controllable, domain-specialist AI for real-world deployment. He combines deep academic training (PhD and MS in Machine Learning from Carnegie Mellon) with leadership roles at Microsoft where he architected foundation-model-driven user-action prediction and shipping program-synthesis neural systems for conversational AI. Emmanouil is a hands-on engineer and open-source contributor, notably improving TensorFlow APIs for Scala and extending core Swift for TensorFlow optimizers and tensor ops, reflecting both systems and math depth. His career blends product-focused research, cross-functional engineering alignment, and startup founding experience dating back to early energy- and safety-oriented projects (including a government-backed forest fire detection prototype). Known for translating ML research into robust, production-ready platforms, he thrives at the intersection of model theory, infrastructure, and applied domain expertise. Based in Mountain View, he brings a rare mix of academic rigor, shipping experience, and product intuition to ambitious AI systems.
11 years of coding experience
14 years of employment as a software developer
International Baccalaureate Diploma, International Baccalaureate Diploma at Geitonas School - International BaccalaureateMaster of Engineering (MEng), Electrical and Electronic Engineering, A+, Master of Engineering (MEng), Electrical and Electronic Engineering, A+ at Imperial College LondonMaster of Science (M.S.), Machine Learning, 4.18 (4.0 Scale), Master of Science (M.S.), Machine Learning, 4.18 (4.0 Scale) at Carnegie Mellon UniversityGreek Lyceum Diploma, Greek Lyceum Diploma at Geitonas School - Greek Lyceum
Greek, English, German
Stackoverflow
115reputation
6kreached
0answers
4questions
Github Skills (21)
operation10
tensorrt10
machine-learning10
math10
maths10
scala10
math-functions10
deep-learning10
tensorflow10
swift10
differentiable-programming10
tensor10
optimizers9
algorithm9
optimisation9
Programming languages (16)
Github contributions (5)
eaplatanios/tensorflow_scala
Apr 2017 - Jun 2022
TensorFlow API for the Scala Programming Language
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:10 releases, 2277 commits, 48 PRs in 5 years 3 months
Contributions summary:Emmanouil appears to have been involved in enhancing the TensorFlow API for the Scala language. They contributed to improving the usability of the example projects within the repository. The primary focus of the user's work was on adapting the code to support new data types, including making code changes across a range of examples. This suggests they were also involved in debugging issues within the examples, and contributing to making the code more robust, particularly in areas involving machine learning.
apideep-learningscala-programming-languagemachine-learningscala
tensorflow/swift-apis
Feb 2019 - Feb 2020
Swift for TensorFlow Deep Learning Library
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:78 commits, 142 PRs, 54 pushes in 1 year
Contributions summary:Emmanouil primarily contributed to the Swift for TensorFlow deep learning library. Their work focused on improving the optimizer module, refactoring and adding new tensor operations, and porting tests. They also addressed bugs in the VJP for various operations and added support for new math functions like 'log1mexp', 'sign' and 'selu', which are critical for deep learning model development. Furthermore, the user expanded the capabilities of the math modules, including supporting a 'truncatedNormal' initializer, demonstrating a deep involvement in the project's core functionalities and the mathematical underpinnings.
differentiable-programmingswift-for-tensorflowdeep-learningmachine-learningdeep-learning-library
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