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Alfred Dwan
Intern Software Engineer specializing in AI, cloud-native systems, and MLOps
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Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.
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Key Strengths
- Owned end-to-end TypeScript/Node backend system in production (scrape/clean/serve pipeline + internal React dashboard)
- Designed scalable ingestion/search architecture (MongoDB raw storage + Elasticsearch for cleaned searchable data)
- Queue-based workload smoothing for traffic spikes (RabbitMQ job pipeline)
- Strong maintainability practices via clear service boundaries and targeted fixes for site-specific scraper changes
- Production reliability mindset: idempotency with Redis, Kafka-based decoupling, retries/backoff, and failure-mode thinking
- Built observability and operational readiness (logging, dashboards/alerts, rollback and degradation testing)
- API design focused on DX: versioning strategy to avoid breaking changes, example-based docs, clear naming/errors
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