AI / ML Engineer(Full-Stack, Backend-focused) • Multimodal RAG • On-device Inference
Junxuan Li (William)
End-to-end systems: multimodal retrieval, agent workflows, evaluation-driven iteration, and mobile-friendly deployment.
Junxuan Li (William)
AI/ML • Agents • RAG • Edge
Focus
Reliable AI systems in production
Strength
Deployment-aware optimization
Domain
Healthcare agents & tooling
Stack
Java • Python • Kotlin
Multimodal RAG + recall evaluation
Agent orchestration (LangGraph / ReAct)
On-device inference (quantization / conversion)
Projects
Selected work with clear scope, metrics, and deployment constraints.
Experience
Production ownership, stability, and performance work across high-concurrency financial systems.
Skills
Engineering-first, with ML systems and tooling as the core.
Education
Recent academic focus on evaluation, agents, and applied AI.
University of Aberdeen — MSc Artificial Intelligence
09/2024–09/2025 • GPA: 16.39/22 (With Commendation) • Class Representative
Contact
Open to AI/ML engineering, agent/RAG systems, LLM/VLM evaluation, and on-device inference roles.
LinkedIn
linkedin.com/in/junxuan-li-william