Bocheng Hsieh

I am an AI Engineer and Data Scientist at Cathay Century Insurance with 2+ years of experience in scaling enterprise AI solutions.

My expertise lies in Agentic AI, RAG, and ML architecture. I handle everything from business alignment and technical proposals to full-stack implementation using LangChain, FastAPI, and Docker. With a strong cloud background supported by three AWS AI/ML certifications, I bridge the gap between complex AI models and stable production environments.

I am also a strong advocate for a collaborative technical culture, often leading internal tech talks and study groups. I am eager to bring my end-to-end development skills and passion for innovation to your team. Looking forward to connecting!

AI Data Scientist at Cathay Century Insurance Co., Ltd (2024-01 – Present)

Leading the development of AI/ML systems and agentic workflows in enterprise insurance operations.

• Led the development of an Agent-based AIOps solution to accelerate system anomaly troubleshooting and provide Root Cause Analysis (RCA), improving MTTR for SRE teams.
• Architected the core system, migrating from a LangChain PoC to a production OpenAI Codex engine integrated with MCP, Skills, and Sandboxing.
• Integrated observability using MLflow to trace model responses, and established an ablation study framework to evaluate individual Skill performance.
• Led the adoption of Databricks Genie Spaces across two major insurance lines, driving a zero-to-one initiative for internal self-service data analytics.
• Designed the semantic layer, encompassing Data Marts planning and Genie Prompt/Instructions engineering, aligning business requirements with technical goals.
• Architected and developed an end-to-end RAG pipeline and service using a Local LLM (32B), LangChain, and CoStar prompting to automate complex claim reporting workflows.
• Reduced manual report writing time by over 50% for frontline staff, projected to save approximately 1,000 manual working hours annually.
• Engineered a text-to-feature pipeline by fine-tuning UIE/UTC models to extract structured data from unstructured legal judgments.
• Trained & Deployed an XGBoost regression model (R² ~0.7) via FastAPI and Docker to predict mental compensation amounts, providing real-time settlement estimations.

Data Scientist / AI Engineer at Cathay Century Insurance Co., Ltd (2023-07 – 2023-08)

Text Mining & Feature Engineering work on legal judgments.

• Conducted NLP preprocessing on legal judgments using Jieba/CKIP.
• Leveraged Chi-squared tests on term frequencies to identify critical factors driving compensation amounts.

Data Analyst (Intern) at Cathay Life Insurance Co., Ltd (2023-02 – 2023-06)

Machine Learning Engineer (Intern) at IndexAsia Digital Consulting Corp. (2022-06 – 2022-12)

Master's in Statistics – National Chengchi University (2021-09 – 2023-06)

Bachelor's in Financial Engineering and Actuarial Mathematics – Soochow University (2017-09 – 2021-06)