Experience — Yongkang Zou

Founding AI Engineer — Epiminds

Stockholm, Sweden · 2026-02 – 2026-03

Marketing AI — applied AI agent techniques to content marketing automation

  • Applied AI agent techniques to automate ad distribution workflows
  • Built marketing content generation pipelines using LLM-based agents
  • Optimisation and Eval for Agentic System (20+ specialist agents)

AI Engineer — Mozart AI

Paris, France · 2025-10 – 2026-01

Creative AI + music engineering — built end-to-end agentic workflows for AI music video creation, bridging technical AI with artistic production

  • Built end-to-end agentic workflows for AI music video creation
  • Developed front-end audio interaction features for real-time music manipulation
  • Integrated multiple AI models for coordinated audio-visual content generation
  • Bridged technical AI engineering with artistic production requirements

AI Engineer — Misogi Labs

Paris, France · 2025-05 – 2025-09

Multi-agent orchestration — developed molecule screening systems with PaperQA and LangGraph, coordinating AI workflows for drug discovery

  • Developed multi-agent molecule screening system using PaperQA and LangGraph for drug discovery
  • Orchestrated AI workflows coordinating literature search, molecular analysis, and candidate ranking
  • Integrated scientific paper retrieval with molecular property prediction models
  • Built automated pipelines for screening potential drug candidates against target criteria

Data Scientist / AI Consultant Intern — Societe Generale (via Alenia)

Paris, France · 2024-04 – 2024-10

Enterprise AI and RAG systems — built production RAG chatbot with LangChain and ElasticSearch, learned to navigate corporate AI deployment

  • Built production RAG chatbot using LangChain and ElasticSearch for internal knowledge retrieval
  • Implemented hybrid search combining dense vector and sparse keyword retrieval for improved accuracy
  • Designed and deployed document ingestion pipeline processing thousands of internal documents
  • Navigated enterprise security and compliance requirements for AI system deployment

Data Scientist Intern — Smart Gadget Home

Paris, France · 2023-07 – 2023-09

ML foundations and optimization — applied XGBoost and deep learning to real inventory problems, achieving 150% improvement in pricing

  • Developed pricing optimization model using XGBoost achieving 150% improvement over baseline
  • Applied deep learning techniques to inventory demand forecasting
  • Built data pipelines for cleaning and preprocessing e-commerce product data
  • Deployed ML models to production environment for real-time pricing recommendations

Assistant Financial Analyst Intern — CITIC Securities

Beijing, China · 2022-07 – 2022-09

Analytical thinking and financial modeling — learned to evaluate companies through data, build DCF models, and present quantitative stories to senior stakeholders

  • Built DCF valuation models for equity research covering multiple sectors
  • Analyzed financial statements and market data to support investment recommendations
  • Created data visualizations and dashboards for senior analyst presentations
  • Developed proficiency in financial data analysis using Excel VBA and Python