Independent Software Engineer at Independent Software Projects
Florida, United States
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Summary
👤
Senior
🎓
Top School
Rong Fan is a Co-Founder and quantitative researcher/trader with a decade of experience building production-grade software and AI-driven trading systems. He blends full-stack engineering (Python, .NET, MongoDB) with quantitative finance, creating modular trading infrastructure, AI market research agents, and predictive models that fuse macro data with real-time sentiment. Previously a startup CTO and cofounder of LeaderTech, he has led teams, optimized large-scale data systems, and shipped microservices and SaaS products across healthcare and property-management domains. At SMS Assist and CentralSquare he drove architecture, service mesh, and reliability improvements while mentoring engineers and defining coding standards. Based in Florida, he pairs rigorous academic training in computer science and lightning science with hands-on experience integrating diverse data sources and automated execution pipelines. Notably, he independently developed an open-source Algorand SDK and automated cross-platform reporting to deliver AI analysis into enterprise workflows.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree, Lightning Science and Technology, Master’s Degree, Lightning Science and Technology at Nanjing University of Information Science and Technology
Master's degree, Computer Science, Master's degree, Computer Science at Maharishi International University
LLSDA is a public benefit project that helps lightning engineers and lightning scientists analyze lightning distribution. 一款跨平台的闪电定位(LLS)数据分析工具软件基础类库,用于对LLS数据进行时空特征分析,帮助雷电相关分析人员(科研人员、学生)提高开发效率、避免重复造轮子。
Contributions:18 commits, 17 PRs, 139 pushes in 8 months
lightningbenefitprotectionresearchersengineers
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