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Senior Data Scientist
Machine Learning Scientist at Seismic who built LLM-powered ranking and agentic AI systems for financial services.
CanadaSenior Data Scientist at Seismic
Owned end-to-end ML product development on structured and unstructured financial services data, from requirements and experiment design through model training, validation, and production deployment. Developed deep learning and reinforcement learning models and fine-tuned LLMs for Seismic Aura.
PythonPyTorchSFTQLoRADPORLAIFTwo Tower RetrievalXGBoostdeep neural networksLangGraphRAGfastAPIDockerAzure Kubernetes ServiceNew RelicContextual BanditsReinforcement LearningDouble Machine LearningPropensity
Supported Capital Markets trading with end-to-end ML research on large-scale financial time series, from dataset construction to production inference. Developed statistical ML, deep learning, and reinforcement learning models in Python and PyTorch.
PythonPyTorchDQNQ LearningLSTMAutoencoderBayesian OptimizationRandom ForestGradient BoostingTime Series AnalysisFeature Engineering
Conducted algorithm research for next-generation wireless systems using linear algebra, numerical optimization, and statistical signal processing. Designed MIMO precoding, channel estimation, and adaptive equalization algorithms.
MIMOChannel EstimationAdaptive EqualizationGame TheorySignal ProcessingSimulationPolar CodingTurbo Coding
Ph.D. in Computer Science and Telecommunications with Highest Honors from Telecom SudParis and Pierre and Marie Curie University (now Sorbonne University), France.
M.Eng. in Computer Science and Telecommunications from Telecom SudParis, France.
B.Eng. in Telecommunications Engineering from Xidian University, China.
Profile sourced from Himalayas.