Available to hire
I’m a software engineer focused on AI, Web3 and scalable systems. I enjoy turning challenging problems into reliable, production-ready services, with hands-on experience in TypeScript, Python, C++, and ML frameworks like PyTorch and TensorFlow. My current work centers on AI agents and blockchain fintech solutions, building end-to-end tooling and robust data pipelines.
Previously at Google, I led data-processing framework migrations and designed distributed systems, and I’ve shipped several ML-powered features in production. I’m excited to apply AI/Blockchain to real-world problems, collaborate across teams, and keep learning new technologies.
Skills
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Work Experience
AI Engineer at Smart Ledger (Fintech Startup)
May 1, 2024 - PresentLed development of a natural-language agent in TypeScript atop a Solana ledger, enabling token management operations via a conversational UI. Wrapped Solana endpoints into HTTP microservices with frontend LLM orchestration for user-tool calls. Built an Internal Policy & Compliance Chatbot (LangChain/RAG/Python/Vertex AI), refactored and containerized the system, and deployed it to Google Cloud Run with integration to Google Chat App, Pub/Sub, and Vertex AI for end-to-end operation. Collaborated with security to address compliance issues and migrated architecture from Vertex AI to a self-developed RAG system for secure, efficient local data retrieval.
Software Engineer at Google
March 1, 2024 - October 27, 2025Architected and launched a unified user data processing framework (C++/Distributed System), enabling traceable data migrations. Migrated multiple user-feature data types into a new storage service and led migration of several feature sets, guiding a team across external and internal contributors to minimize downtime. Also led the ML Fast Training Pipeline: New User Identifier (C++/MapReduce/Distributed System), implementing cross-team design and delivering real-time and batch workflows across multiple Google stacks to support 10+ client tasks.
Software Engineer Intern at OpenFuture
February 1, 2017 - October 27, 2025Toy Classifier project: Built high-accuracy toy classification models using transfer learning (VGG-19 with SVM in C++/Caffe on Windows). Developed a real-time object tracking system capable of recognizing up to 5 toy types with <90ms per-frame latency, enabling interactive camera-based educational experiences.
Education
Master of Science in Computer Science at University of California, San Diego
September 1, 2018 - December 1, 2019Master of Science in Computer Science at Beijing University of Posts and Telecommunications
September 1, 2014 - March 1, 2017Bachelor of Electrical Engineering at Beijing University of Posts and Telecommunications
September 1, 2010 - June 1, 2014Qualifications
Industry Experience
Software & Internet, Financial Services
Skills
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Experience Level
Expert
Expert
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