Resume

Problem-driven full-stack builder | Skilled in creating portable AI and data systems

Keywords: Top Chinese university | Master’s abroad | 10+ years in data & algorithms | Fluent in English | Full-cycle project delivery

Personal Information

Name: Zhang Yuxiang	Education: Master's Degree
Gender: Male	Date of Birth: 1988-12-22
Phone: 15982033650	Email: yazyx88@163.com

Education

2012.02—2014.11: Australian National University, Master of Actuarial Studies
2007.09—2011.06: Sichuan University, Dual Bachelor’s in Applied Mathematics & Finance

Work Experience

2024.07 – Present | AI Project Development

Built multiple AI systems including knowledge Q&A, intelligent customer service agents, and news summarization workflows, covering embedding, RAG, and full-stack deployment. Applied across law firms, companies, and personal projects.

2020.03 – 2024.06 | Qianxing Private Fund | Quantitative Strategist & Partner

Independently developed a genetic algorithm-based trading strategy, achieving 95% live return over 14 months (vs. -11.26% in Shanghai Composite Index), becoming the core profit strategy (>90% of company revenue). The method was highly generalizable and replaced legacy systems. Due to outstanding performance, was invited to become a partner. Led internal AI application and implemented neuroevolution methods to enhance high-dimensional feature modeling.

2018.03 – 2020.01 | Ant Financial | Senior Data Analyst

Led development of full-link anomaly monitoring, multi-dimensional trend analysis, and audience targeting systems, serving millions of users. Several methods were patented internally.

2014.07 – 2017.10 | Kan Village InfoPort & Qixin Education (Australia) | Data Analyst & Operations

Conducted data analysis and system building for websites and educational platforms, including a WeChat chatbot and BI dashboard. Applied machine learning techniques to real business scenarios.

Highlight Projects (Brief)

📊 Multi-dimensional escalation rate decomposition (Ant Financial): Used LMDI algorithm to explain fluctuations across dimensions; applied to millions of daily chatbot requests; filed internal patent.
👥 Marketing audience segmentation (Ant Financial): Association rule-based interpretable targeting system, adopted in a key insurance campaign; over 50% of rules directly used, AB-test improves average 12% ; reused in multiple business lines.
📈 Complaint Top-K Insight (Ant Financial): Identified statistically significant trend shifts for operational monitoring.
🧬 Genetic strategy engine (Private Fund): Auto-generation and filtering framework, achieved 95% return over 14 months.
🧠 Neuroevolution research (Private Fund): Combined Transformer and evolutionary algorithms to explore high-dimensional strategy optimization.
📚 Local knowledge base system (Law Firm & InfoPort): Embedding + FAISS + LLM-based RAG Q&A; supports multi-format document retrieval.
📰 AI news summarization platform: Full pipeline from crawling, summarization, clustering to sentiment analysis.
🤖 Multi-tool customer service agent: LangChain-based agent integrating FAQ, ticketing, complaint handling, with dynamic intent recognition.
🎯 Uplift-Based Precision Marketing Analysis System (Self-Developed): Built a complete system covering data upload, model training, Top-K user selection, and ROI evaluation. Supports Decile validation, Qini curve, and AUUC metrics to improve marketing effectiveness and enhance interpretability of targeting strategies.
💬 Fine-Tuned Generative QA System (Insurance Domain): Developed a domain-specific QA task based on the Qwen1.5-1.8B model. Constructed a custom dataset and applied LoRA for efficient fine-tuning. Implemented causal language modeling and local inference to improve semantic accuracy and domain relevance.
🧾 Fine-Tuned Intent Classification System (Insurance Domain): Designed a multi-intent classification task covering 60+ insurance-related categories. Applied LoRA to fine-tune a large language model and implemented softmax-based inference with Top-K output. The system is deployable in intelligent customer service and business routing scenarios.

Skill Overview

Over 10 years of experience in data mining and algorithm application, covering digital operations & data analysis, optimization algorithms & decision analysis, machine learning & data mining, deep learning, and AI-related applications.
- Proficient in commonly used data analysis and mining methodologies, with strong abilities in problem identification and solution design; able to quickly propose efficient and practical solutions based on real-world needs.
- Skilled in scientific methods such as randomized A/B testing and Uplift causal modeling; capable of independently executing precise user targeting, phased rollout, and effect evaluation for user acquisition and retention scenarios.
- Expert in mainstream machine learning algorithms including logistic regression, decision trees, random forests, XGBoost, clustering analysis, DeepFM, and neural networks; well-versed in deep learning techniques and cutting-edge AI technologies.
- Familiar with AI development involving large language models (LLMs), including AI workflows, Retrieval-Augmented Generation (RAG), and LoRA-based fine-tuning, realizing full-stack deployment from data to intelligent automation.
- Knowledgeable in knowledge graph construction and applications, including entity extraction, relationship modeling, graph algorithms, graph databases, and visualization.
- Understanding of PySpark and distributed data processing frameworks.
Able to independently complete full-cycle development of small-scale systems,
- Including backend logic, frontend interface, algorithm integration, database design, and server deployment to deliver full product solutions.
- Technical stack includes Python, MySQL, Linux, and basic server operations, applied to areas like productivity tools and information management systems.
Mathematics & English
- Solid foundation in mathematics; capable of reading academic papers in English and implementing complex algorithms, with proven ability to rapidly apply them in real-world projects.
- Over 5 years of study and work experience overseas; fluent in English and adept at cross-cultural and cross-regional communication and collaboration.
Strong learning agility and adaptability; excels at identifying the core essence of problems and designing scalable solutions—solving one problem often unlocks many.

Additional Experience & Interests

🏆 Chess champion of Sichuan Province, national second-class athlete, top 0.1% globally on chess.com; national math contest award winner
🎩 Amateur magician (performed at Alibaba annual event), 🎥 photography (shot & edited sports events)
👥 Former president of university volunteer club; organized large-scale events
🔬 Regular exchanges with AI/ML researchers; follows technology frontiers

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