Sho Yoshida is a Co-Founder and full-stack software engineer with 11 years of experience building distributed systems and time-series deep learning pipelines for financial forecasting. Previously Chief Scientist at Alpaca Japan and an engineer at Alpaca, he led the design and implementation of quantopian-compatible live trading engines and a distributed DL inference engine for production trading. His background spans Python, Go, Ruby, and modern frontend stacks, and he has a proven track record delivering low-latency market signal services and scalable infrastructure for streaming and trading platforms. Based in Chiyoda, Japan, Sho combines hands-on implementation with architecture and interface design, and uniquely blends econometrics training with practical systems engineering to turn predictive models into real-time trading products.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Tohoku University
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