Snehal Raj
Associate Staff Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolSnehal Raj is an Associate Staff Scientist at QC Ware with eight years of experience applying quantum machine learning and classical ML to industry problems. He holds a PhD in Quantum Machine Learning from Sorbonne, an MSc in Computer Science from Oxford, and a BTech from IIT Kanpur, reflecting a strong academic trajectory across top institutions. At QC Ware he progressed from quantum algorithms consultant to research lead, focusing on real-world QML applications; earlier work includes AutoML distillation of LLMs with an EMNLP-accepted paper during an Adobe internship. Based in Paris, he blends deep research rigor with practical engineering—comfortable moving models from theory to prototype—and often operates at the intersection of quantum algorithms and applied ML. A curiosity-driven learner, he repeatedly bridges cutting-edge research and product-focused solutions across startups and research labs.
8 years of coding experience
Doctor of Philosophy - PhD Quantum Machine Learning, Doctor of Philosophy - PhD Quantum Machine Learning at Sorbonne UniversitéMaster's degree Computer Science, Master's degree Computer Science at University of OxfordIndian Institute of Technology Kanpur
Github Skills (45)
medium9
fastest8
pytorch7
machine-learning7
sbt7
deep-learning7
loss7
sbt-plugin7
credentials6
database5
aws5
idp5
lstm5
scala5
linux5
Programming languages (6)
Github contributions (5)
SnehalRaj/LogAnalyser
Mar 2019 - Mar 2019
Contributions:18 commits in 2 days
SnehalRaj/Bosch_route_optimization
Jan 2020 - Jan 2020
Code for the winning submission to Bosch's Route Optimization Challenge at Inter-IIT Techmeet 8.0
Contributions:17 commits, 16 pushes, 1 branch in 8 days
reinforcement-learningiitoptimizationboschinter
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