Project-based on-site engagement delivering a multi-agent RAG prototype and enterprise workflow tooling; standardized retrieval and task-routing; delivered MCP service layer blueprint; architecture recommendations for next-stage production implementation.

Senior AI Engineer / AI Architect at MDCE CRO

On-site delivery of a multi-agent RAG prototype with a graph-based knowledge architecture and external API integration for enterprise workflows. Standardized enterprise retrieval and task-routing workflows; delivered MCP service layer blueprint for specialized agents; completed the technical validation milestone and finalized architecture recommendations for next-stage production implementation.

Senior AI Engineer / AI Architect at CORE STRENGTHS

Local AI engineering experience in Suzhou, China with cross-cultural delivery in production teams. 10+ years in automation and AI engineering, recently focused on LLM, RAG, multi-agent systems, and time-series forecasting. Strong track record turning research-grade ideas into production systems with observability, scalability, and cost control. Open to relocation to any city in China and available for remote work from Suzhou.

AI Architect at Independent AI Research & Development

Designed and developed open specification PR0JE C.m d for declarative orchestration of sequential and parallel multi-agent workflows, improving cross-organization workflow reuse. Built a real-time price-prediction AI (24/7) with 30-minute horizon and continuous short-horizon accuracy improvements via Chronos/TimesFM. Developed automated background-removal and text-guided background generation pipeline with Stable Diffusion integration. Proof-of-concept for enterprise-grade orchestration and AI upgrade initiatives.

Senior AI Engineer / AI Engineer / RPA Architect at Orchefy.com

Designed production-grade multi-agent AI platform with Rust and Clean Architecture; robust agent orchestration, WASM plugin system, and graph-based RAG pipelines; tool contracts, execution controls, and per-orchestrator LM configuration; improved latency; implemented secure tool invocation and human-in-the-loop oversight; built token compression system and a million-scale video speech search system with a Chinese-language UI; achieved sub-200ms retrieval latency and reduced WER on a new language.

Senior AI Engineer / AI Engineer / RPA Architect at MDCE CRO

Remote-designed and delivered Orchefy.com, a production-grade multi-agent AI platform built with Rust and Graph-based architecture, including a robust agent orchestration model, a WASM-based plugin system, and graph-based RAG pipelines. Designed a stable agent harness for role isolation, tool contracts, and execution control, with independent LLM provider/model configuration per orchestrator and agent. In comparative workflow tests, Orchefy achieved ~4.3x speed-up versus Copilot using 16 agents (6 concurrent), significantly reducing end-to-end execution latency. Implemented resilient planning/execution loops with retry, fallback, and reflection mechanisms for long-running workflows. Safety and governance: secure tool invocation and role-bound execution controls with human-in-the-loop oversight. Observability: improved production stability through structured evaluation scenarios and failure-mode monitoring.

RPA/Mobile Engineer at Mediya TV (Belgium) / Pal Design Group (Russia)

Worked across RPA, mobile engineering, and media automation; built foundational capabilities in complex system delivery, cross-functional collaboration, and process optimization.

Early Career at Mediyata (Belgium) / Pal Design Group (Russia)

Across RPA, mobile engineering, and media automation; built foundational capabilities in complex system delivery, cross-functional collaboration, and process optimization.