Prashant Dhillon
Quantitative Researcher
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolPrashant Dhillon is a quantitative researcher and data/ML engineer based in Paris with nine years of hands-on experience applying machine learning, data engineering, and statistical methods across finance, autonomous vehicles, and data-driven product development. He recently joined Qube Research & Technologies after building cloud-native data architectures, MLOps frameworks, and data curation pipelines at Epigene Labs and delivering NLP and anomaly-detection solutions at Capital Fund Management. Prashant combines low-level systems experience — from STM32-based haptic hardware and real-time robot control to INT8-quantized neural networks for on-board object detection — with production-focused skills in Terraform, Python, and model deployment. His background in both research labs and fast-moving industry teams gives him a rare ability to translate academic prototypes into scalable, auditable pipelines for finance and insurtech use cases.
9 years of coding experience
4 years of employment as a software developer
Senior School Certification Mathematics and Pure Science, Senior School Certification Mathematics and Pure Science at R.S.V. Hr. Secondary SchoolBachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at IIIT-Naya RaipurMaster's degree Computer Science, Master's degree Computer Science at ESIEE PARIS
Hindi, English, FrenchProgramming languages (1)
Github contributions (5)
prashant-dhillon/quantized-object-detector
Jun 2020 - Jul 2020
Contributions:3 commits, 3 pushes, 1 branch in 1 day
prashant-dhillon/Pirate-Notes
Mar 2017 - Oct 2018
Contributions:1 PR, 2 pushes, 1 branch in 1 year 7 months
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