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Shao Rong Su
Senior AI Research Engineer specializing in LLM agents and predictive maintenance
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About
At Delta Electronics, partnered with automotive firmware teams to productionize an LLM-based coding assistant for identifying safety standard violations and generating bug-fix guidance. Built an agentic workflow with stepwise context extraction, similarity search, and a separate judge model for scoring reasoning/retrieval, and drove internal adoption through pain-point discovery and tailored technical demos using real firmware code.
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Key Strengths
- Took an LLM code-fix prototype to production by redesigning into an agentic, stepwise workflow
- Improved reliability by reducing prompt sensitivity via structured workflow steps
- Mitigated agent error accumulation and complexity by incremental issue processing (chunking/single-issue handling)
- Strong real-time troubleshooting approach using component-level evaluation, logs, and judge-model scoring
- Effective technical demos/workshops tailored to firmware engineer audiences using real code from partner codebases
- Adoption-driven product approach: discovery of stakeholder pain points and translating them into solution design
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Experience
Education
Awards
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Publications
3 publications
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