Sangjun Han

About Sangjun Han

I specialize in data engineering, AI agent development, and machine learning. My work focuses on building enterprise-grade generative AI agents—designing prompt workflows, integrating logic across complex systems, and optimizing multi-turn conversational behavior for real-world applications.

Experience

1. Software Engineer Lead

   Capgemini

   Sep 2024 — Present · Dallas, TX, US

   Design and deliver AI-powered enterprise solutions within the Salesforce ecosystem, focusing on Agentforce, Data Cloud, and LLM-based applications.Projects- Built and deployed LLM-powered agents using Agentforce (Apex, Flow) to automate business workflows, enable conversational interactions, and enforce domain-specific logic (e.g, promotion validation, survey analytics)- Designed and implemented multi-turn conversational sessions, maintaining context across interactions to support coherent dialogue, follow-up queries, and real-time decision workflows- Led prompt engineering and agent orchestration to support scalable, context-aware AI interactions across enterprise use cases- Developed a large-scale data ingestion pipeline, extracting documents, reducing retrieval time by 50%, and integrating outputs into vector database pipelines for semantic search and AI applications- Implemented containerized data ingestion pipelines using Docker and Heroku, enabling scalable and reliable data processing.

Education

• UCLA

  Bachelor of Science - BS, Statistics

• University of San Francisco

  Master of Science - MS, Data Science