Hotaka Shiokawa
Senior Data Scientist @Fidelity Investments
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WORK HISTORY
Senior Data Scientist @Fidelity Investments
Boston, MA, US
Submitted a patent application as the primary inventor for a method to improve the accuracy of Large Language Models (LLMs) used as rule engines.Issued a patent as the primary inventor of a novel search enhancement approach and deployment apparatus leveraging LLMs to optimize search capabilities: https://patentimages.storage.googleapis.com/1b/9c/9b/19e37442bad479/US12••••90.pdfDeveloped a multi-agent chatbot prototype enabling goal-driven, conversation-based information extractionParticipated in developing Think-on-Graph-based modules for structured document reasoning and graph-based traversal.Worked on developing financial domain specific Large Language Model tools
EDUCATION
University of Illinois Urbana-Champaign
Doctor of Philosophy (Ph.D.), Astrophysics
University of Arizona
Bachelor's degree, Astronomy and Physics
SKILLS
ABOUT HOTAKA SHIOKAWA
Specialities: Large Language Models, Natural language processing, machine learning, numerical simulations, physics.My work is focused on applying Natural Language Processing and Large Language Models to financial documents to improve work efficiency and customer experience. Recent projects include developing RAG-based QA pipelines and building agent-based chatbot prototypes.Previously, I performed various computational simulations using supercomputers and studied astrophysical phenomena in high-energy environments near black holes.Skills:• Professional Fields: Natural Language Processing, Large Language Models, Retrieval-Augmented Generation, Multi-Agent Systems, Machine Learning, Deep Learning, Data Analysis, Physics, Astronomy, Computational Astrophysics• Programming Languages: Python, C/C++• Machine Learning Libraries: TensorFlow/Keras, scikit-learn• Parallel Computing: MPI, OpenMP, Various HPC systems / platforms• Languages: Japanese (native), English (fluent), Mandarin (moderate)• Others: LlamaIndex, LlamaIndex Workflows, LangChain, Docker, K8s
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