Linyi Dai — CEO

Update: Currently Work as a Quant Dev in a large HFT Hedge Fund (AUM > $1B), focusing on HFT System Infra (C++) and Trade Execution. DM me for further details. I am an NYU CS Major with a foundation in competitive programming and a deep passion for building high-performance, low-latency systems. Driven by a passion for high-performance computing (HPC) and complex systems design. My background in competitive programming (C++) gives me a deep appreciation for algorithmic efficiency and low-level optimization. Core Expertise: C++ & Systems: Strong foundation from competitive programming (ACM ICPC Regional Silver, National Olympiad Regional 1st Prize ). Hands-on experience implementing a virtual memory system from scratch in my Weensy OS project. Python & AI/Data: Proven expertise in building and deploying large-scale Python applications. Quant Dev: Built data pipelines (Pandas) for 500k+ daily transactions and developed ML risk models (XGBoost) at UBS. AI Engineering: Architected multi-agent AI systems (LangChain, RAG) at both SAP and UBS. ML Research: Trained custom neural networks using PyTorch at NYU. SRE & DevOps: Experienced in high-availability environments as an SRE at SAP, resolving production incidents using Kibana, Kubernetes, and Jenkins. I am eager to contribute to challenging projects in low-latency systems or quantitative trading infrastructure.

Stackforce AI infers this person is a Fintech expert specializing in high-frequency trading and AI-driven solutions.

Experience: 8 mos