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Jen-Ting Chang
Mid-Level Backend Software Engineer specializing in FinTech and distributed systems
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About
Backend engineer who built an AI RAG quoting system for the fastener industry, reducing quote turnaround from weeks to ~30 minutes and raising retrieval accuracy to ~90% by solving a semantic-collision issue with a parent-document retrieval design. Strong in production AWS integrations (Cognito auth, S3 pre-signed uploads), performance optimization (multithreading/out-of-core), and real-time streaming (Kafka/Spark Kappa architecture achieving sub-second latency), plus Kubernetes logging and GitHub Actions CI/CD to ECR.
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Key Strengths
- Built FastAPI-based RAG system cutting quoting time from weeks to ~30 minutes
- Improved retrieval accuracy from <60% to ~90% by diagnosing semantic collision and implementing parent-document retrieval
- Optimized Python data processing (87% faster via multithreading; 90% lower memory via out-of-core processing)
- Designed Kafka/Spark Kappa architecture achieving sub-second streaming latency via partition/consumer parallelism
- Implemented production auth with AWS Cognito (callbacks, user DB inserts, HTTP-only cookies)
- Built S3 attachment upload pipeline using pre-signed URLs
- Kubernetes logging expertise: Fluent Bit parsing to reconstruct split JSON logs before CloudWatch ingestion
- Automated CI/CD with GitHub Actions (tests, Docker build, AWS auth, deploy to ECR) with tag-based rollback
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