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Dexin Huang
Junior AI Engineer specializing in LLM systems, RAG, and full-stack automation
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About
Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.
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Key Strengths
- Deployed AI receptionist into live service businesses with real-time scheduling/calendar integration
- Designed custom queueing/batching to prevent dropped requests under API limits and concurrency
- Built operator trust and drove adoption via workflow shadowing and adding review/override controls (adoption in 1–2 weeks)
- Systematic cross-layer troubleshooting using logs and layer isolation (software/network/hardware)
- Rapid on-site problem resolution (identified Wi‑Fi issue causing call drops; switched to Ethernet)
- Strong production debugging practices (extensive logging + mirrored prod environment to reproduce issues)
- Identified and fixed LLM API timeout/hanging issue that froze calls
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