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Kevin Lim
Intern Software Engineer specializing in data science and machine learning
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About
Backend engineer with hands-on experience building Flask REST APIs (auth, CRUD, S3 media uploads) and driving measurable Postgres/SQLAlchemy performance gains (p95 reduced to 200–400ms by eliminating N+1s and switching to keyset pagination). Implemented multi-tenant isolation with strict tenant scoping plus Postgres RLS, and built an OpenAI-powered quiz generation pipeline using queued workers, structured JSON outputs, and Celery/Redis optimizations to stabilize high-throughput workloads.
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Key Strengths
- Designed modular Flask architecture using app-factory + Blueprints for testability and clean configuration
- Resolved circular import issues by centralizing initialization in the application factory
- SQLAlchemy/Postgres performance tuning (indexes, constraints, avoiding N+1, keyset pagination)
- Measured performance improvements on feed endpoint (queries 50–60 down to 3–5; p95 1–2s down to 200–400ms)
- Built AI content generation workflow with job queue, structured JSON outputs, validation, and persistence
- Multi-tenant data isolation with end-to-end tenant context, cache/storage namespacing, and Postgres RLS backstop
- High-throughput background processing optimization with Celery concurrency controls, exponential backoff, idempotency, and Redis caching (queue lag minutes to seconds; fewer duplicates)
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1 publication
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