London · Shanghai · Nanjing | wesleyxu0622@gmail.com | 136-0515-9615
AI Product Manager • LLM Engineer • AI Agent • Developer Tools • AI Coding
Available for internship: Jun 2026 – Sep 2026 (3+ months)
UCL Computer Science student with hands-on experience in AI product design, LLM application development, and backend engineering. Focused on AI Agent, AI Coding, Developer Tools, and LLM infrastructure.
Previously held dual PM + LLM Engineer roles at EuniAI and AIMOVerse (now BitRouter), contributing end-to-end from requirements and product flows to Agent workflow design, API design, and backend deployment. Strong ability to bridge deep technical understanding of LLMs, RAG, Agents, multi-model routing, and OpenAI-compatible APIs with product execution.
09/2023 – 06/2027
MEng Computer Science
EuniAI
Jun 2025 – Oct 2025
AIMOVerse (now BitRouter)
Oct 2024 – Jun 2025
Jamboxx-Infinite · UCL IXN Voice AI Project
Oct 2024 – Mar 2025
Mar 2026 – Present
Role: Project Lead / Researcher / Core Developer.
Research project in collaboration with UCL SOLAR to build a dynamic peer-evaluation arena for LLM coding ability and reduce benchmark contamination, overfitting, and single-metric evaluation bias.
Designed and implemented a 5-stage pipeline: Generator → Solver → Sandbox Execution → Judge → Elo Update, enabling model-generated tasks, multi-model parallel solving, cross-rating, and dynamic Elo ranking.
Currently improving evaluation stability, fairness mechanisms, sandbox execution reliability, and scoring consistency while contributing to related academic writing.
Jun 2025 – Oct 2025
Organization: EuniAI. Role: Product Manager / LLM Engineer / Research Contributor.
Participated in product design and development of an Auto-Debug agent pipeline across code understanding, issue classification, context retrieval, bug reproduction, patch generation, automated test validation, and feedback loop closure.
Contributed to multi-agent workflow design, API and test validation environment, Docker-isolated execution design, and academic writing around auto-debug architecture and experiment methodology.
Jan 2025 – Jun 2025
Organization: AIMOVerse (now BitRouter), an AI startup building infrastructure for AI Agents and developers. Role: Product Manager / LLM Application Engineer.
Participated in platform product design and engineering for OpenAI-compatible unified model invocation, with Provider Routing to optimize availability, latency, cost, and stability across providers.
Owned core user-path design for API users, model providers, and AI Agents (onboarding, auth, model invocation, billing, usage tracing); also worked on Proxy/Router configuration, provider onboarding, deployment debugging, compatibility troubleshooting, and developer documentation.
Translated on-chain settlement, pay-as-you-go billing, and routing mechanisms into product features that lowered developer integration barriers.
Oct 2024 – Mar 2025
Role: Product Design / Backend Development / Model Training.
Built and iterated on backend capabilities for emotional companion scenarios with a lightweight API service supporting deployment on CPU/GPU environments and Dockerized runtime.
Participated in model training and backend integration, plus LiteLLM Proxy based multi-provider routing with health checks, model listing, and chat completion proxy endpoints.
Contributed to environment setup, deployment workflows, API usability, and test/coverage practices to improve system reliability and developer onboarding.
Sep 2024 – Present
Building RESTful API service for Voice Cloning and Voice Conversion with FastAPI.
Deep Learning: PyTorch, TorchAudio-based DDSP-SVC and Diffusion models for voice conversion.
High-Performance Computing: CUDA GPU acceleration support.
Deployment Engineering: Nuitka compilation to standalone executable.
Jun 2023 – Aug 2023
Designed and implemented the string subsystem using Arduino and ESP32, enabling integration between sensors, actuators, and the control system.
Solved communication issues between ESP32 microcontroller and the ThingsBoard cloud platform.
Optimized embedded system performance with MQTT-based IoT communication and C++ device-to-cloud engineering.