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Yue Su
Junior AI/ML Engineer specializing in LLM agents, RAG, and distributed systems
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About
Python backend engineer focused on high-throughput document/PDF processing systems, building end-to-end pipelines that extract structured content for downstream NLP use cases. Demonstrates strong practical MLOps-adjacent infrastructure skills: Kubernetes deployments, GitLab CI, GitOps workflows, and an incremental migration to AWS using EC2/Lambda tradeoffs. Deep hands-on optimization experience (selective OCR, layout-aware extraction, parallelism, caching, idempotency, and backpressure/autoscaling).
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Key Strengths
- End-to-end ownership of PDF processing backend and REST API layer
- Improved parsing accuracy via selective OCR (text-layer detection) and layout-aware extraction
- Reduced latency using per-page parallelism with worker pools and caching for reprocessing
- Built automated tests and improved CI/CD for more reliable releases
- Production Kubernetes deployment experience (resource tuning, health checks, rolling updates, debugging memory pressure)
- Incremental AWS migration strategy with component decoupling and parallel run validation
- Designed idempotent, resilient queue-based processing (deterministic IDs, page-level checkpointing) and managed backpressure with autoscaling/concurrency tuning
- Applied GitOps workflow with manifests in Git and PR-based deployment changes
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1 publication
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