At Seismic, I developed machine learning products for financial services, including Seismic Aura’s AI and ML intelligence layer. For BlackRock, I fine-tuned LLMs to extract structured information from financial documents and supported personalized content ranking and recommendation explanations.
I built a LangGraph multi-agent recommendation system that connected document extraction, personalized recommendations, and grounded explanations. I also architected its RAG workflow and deployed recommendation services on Azure Kubernetes Service.
At Seismic, I developed reinforcement learning policies for content selection for Invesco and applied causal machine learning to client engagement workflows for Bank of America. Earlier, at Bank of Montreal, I researched and deployed ML models for financial time series; at Huawei Technologies, I conducted algorithm research for wireless systems.
