I am an AI infrastructure and distributed systems engineer with 15+ years of experience building production-grade platforms across AI-native systems, backend infrastructure, and large-scale data applications. I thrive at the intersection of research and production, turning cutting-edge ideas into reliable systems with measurable impact. I earned a Ph.D. in Computer Science from the University of Southern California in Intelligent Systems, have served as a university professor teaching machine learning and blockchain technologies, and have led globally distributed engineering teams as a founding engineer and technical leader. I have built AI-native platforms spanning agentic AI, multi-agent orchestration, evaluation harnesses, RAG systems, and distributed backend infrastructure, taking concepts from idea to production with modern AI-assisted software development workflows.

Nan Jing

I am an AI infrastructure and distributed systems engineer with 15+ years of experience building production-grade platforms across AI-native systems, backend infrastructure, and large-scale data applications. I thrive at the intersection of research and production, turning cutting-edge ideas into reliable systems with measurable impact. I earned a Ph.D. in Computer Science from the University of Southern California in Intelligent Systems, have served as a university professor teaching machine learning and blockchain technologies, and have led globally distributed engineering teams as a founding engineer and technical leader. I have built AI-native platforms spanning agentic AI, multi-agent orchestration, evaluation harnesses, RAG systems, and distributed backend infrastructure, taking concepts from idea to production with modern AI-assisted software development workflows.

Available to hire

I am an AI infrastructure and distributed systems engineer with 15+ years of experience building production-grade platforms across AI-native systems, backend infrastructure, and large-scale data applications. I thrive at the intersection of research and production, turning cutting-edge ideas into reliable systems with measurable impact.

I earned a Ph.D. in Computer Science from the University of Southern California in Intelligent Systems, have served as a university professor teaching machine learning and blockchain technologies, and have led globally distributed engineering teams as a founding engineer and technical leader. I have built AI-native platforms spanning agentic AI, multi-agent orchestration, evaluation harnesses, RAG systems, and distributed backend infrastructure, taking concepts from idea to production with modern AI-assisted software development workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Founding Engineer / Chief AI Systems Architect at Stealth AI Infrastructure Startup
October 1, 2025 - Present
Designed and built an AI-native platform for agentic workflows, real-time context retrieval, tool-augmented reasoning, and structured decision support across high-pressure professional environments. Implemented multi-agent orchestration, MCP tool integration, evaluation harnesses, prompt/context routing, and programmable execution pipelines across TypeScript/Node.js and Python/FastAPI. Developed scalable backend services, APIs, and message-driven architecture supporting document ingestion, structured memory, multimodal processing, and end-to-end workflow execution. Integrated RAG, vector search, and structured memory to support retrieval and reasoning across documents, screenshots, and conversation history.
Fellow at BTCFi and Payments Fellowship (Web3 & Blockchain Track)
September 1, 2025 - December 1, 2025
Fellow selected by Sui and Walrus Foundations, and Press Start Capital to advance programmable and verifiable infrastructure for the AI agent economy. Implemented a Web3-based agent payment and provenance layer, bridging agent intent, programmable settlement, and verifiable proof into a unified execution framework for sub-second, auditable interactions.
Founding Engineer, Team Lead at Provenance AI Incorporation
March 1, 2023 - August 1, 2025
Architected and launched a production-scale AIGC platform from scratch, processing 10M+ multimodal artifacts with 99.9% uptime, integrating generation, detection, and provenance verification into a unified system. Designed and led the development of a real-time, event-driven AI platform using Spring Boot, Kafka, Redis, and SSE, coordinating a globally distributed engineering team across multiple time zones and driving architecture decisions around scalability, reliability, observability, and engineering execution. Built AI-native content intelligence pipelines, including RAG-based discovery (Elasticsearch + Milvus/CLIP) and automated copyright risk assessment, bridging research concepts into deployable infrastructure.
Senior R&D Staff in Mobile at Element Incorporation
September 1, 2019 - March 1, 2023
Developed real-time cross-platform (Mobile/Web) face-matching and liveness detection systems with Android, Kotlin, WebRTC, and Firebase; Engineered a face-matching module using WebAssembly, enabling the processing of 20+ frames per second just in the web browser for low-end mobile devices. Modified Android kernel code in a customized Samsung’s build to integrate and embed Element’s full biometric suite, enabling native face-matching for secure device-level identity verification.
Adjunct Associate Professor at University of Technology, Sydney (Joint Program with Shanghai University)
July 1, 2014 - July 1, 2019
Taught graduate-level courses in Blockchain Technologies, Information Systems, and E-commerce. Supervised 30+ MSc and MBA projects across AI and blockchain. Published in top-tier journals.
Principal Engineer / Engineering Manager at Challengers Capital
October 1, 2012 - July 1, 2019
Led technical due diligence for seed ventures and enabled MVPs to evolve into production-ready platforms. Applied deep learning architectures, including Transformer variants and GANs, to build a predictive analytics system for evaluating early-stage startup success probability.
Senior R&D Staff at Bloomberg LP
August 1, 2009 - August 1, 2012
Spearheaded development of Bloomberg Radio+ (Best Finance App 2011) and Bloomberg News on Android/Tablet, and Bloomberg Terminal app on Android. Integrated media data streams and behavior analytics across mobile platforms; won the ‘Bloomberg Business & Technology Innovator’ Award of 2011.

Education

Ph.D. in Computer Science at University of Southern California
January 11, 2030 - June 30, 2026
M.S. in Computer Science at University of Southern California
January 11, 2030 - June 30, 2026
Bachelor of Science in Computer Science at Peking University
January 11, 2030 - June 30, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Education