Machine Learning Engineer, Georgia Tech MS ECE
I'm currently building BehavLabs, a startup focused on continuous authentication and behavioral understanding: inferring mood and intent from human-computer behavioral signals.
My ML background is in neural time-series modeling. My thesis work focused on seizure onset zone localization from intracranial EEG (SEEG), using transformer architectures, contrastive representation learning, and cross-patient generalization.
I grew up in a small town in France, trained as an electrical and computer engineer, and completed my M.S. in Electrical and Computer Engineering at Georgia Tech.
Neural decoding framework for seizure onset zone localization, using transformer-based sequence modeling and contrastive pre-training for cross-patient generalization.
Market-making research platform built on reconstructed CME Globex WTI Crude Oil Level-3 order-book data, with FIFO queue modeling, latency-aware paper trading, and strategy evaluation under realistic microstructure conditions.
GPU ray tracer with coordinator/worker execution, CUDA rendering kernels, UDP-based task distribution, and interactive SFML visualization.