Sattisvar Tandabany
Chief Digital Officer (CDO) at anabasis assets
Palaiseau, Île-de-France, France
Summary
👤
Senior🎓
Top SchoolSattisvar Tandabany is a seasoned data and AI leader with 10 years of experience turning research-grade NLP and machine learning into production products and digital strategy. Currently Chief Digital Officer at anabasis assets and former CEO of ST.AI.R, he combines hands-on expertise in Python, C++ and semantics with a PhD-rooted background in distributed reasoning and opportunistic networks. He has led R&D teams (Lokad) and built NLP platforms (Botfuel), bridging deep technical work—such as logic-based composition of device functionalities—from his PhD with commercial ML systems. Based in Palaiseau, France, he is comfortable operating at the intersection of research, product and executive decision-making, uniquely able to translate formal methods into pragmatic data-driven solutions.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Ecole normale supérieure de LyonDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Laboratoire Informatique GrenobleDEA Cognitive Science, DEA Cognitive Science at Paris-Sud University (Paris XI)Lycee Clemenceau Nantes
French, English, Spanish, Italian, Tamil, Japanese
Stackoverflow
1reputation
0reached
0answers
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Github Skills (21)
scisharp10
deploying10
keras10
csharp10
chatbot10
machine-learning-models9
machine-learning9
deep-learning8
dotnet8
tensorflow8
nlp3
natural-language-processing2
python1
ndarray1
ml1
Programming languages (5)
Github contributions (5)
sattisvar/ExcelTimeTable
Aug 2015 - Nov 2016
Contributions:4 PRs, 19 pushes, 5 branches in 1 year 2 months
exceltime-table
sattisvar/TensorFlow.NET
Jun 2019 - Sep 2019
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.
Contributions:2 PRs, 11 pushes, 2 branches in 2 months
deployingdotnetdevelopingdeploying-machine-learningmachine-learning
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