Hasen Archer

Rebuilt microservices in Node.js with Nest.js and Express, raising API throughput 45% under high concurrent load. Developed React and Next.js interfaces in TypeScript with SSR and code-splitting to cut page loads under 1.5s. Optimized PostgreSQL and MongoDB queries with Redis caching, lowering p95 read latency 30% across core services. Integrated OpenAI APIs via a Python service called from Node.js, automating content tagging and saving ~20 hrs weekly. Migrated workloads to AWS ECS, Lambda, and S3 with autoscaling to support 5x traffic growth without downtime. Automated CI/CD with GitHub Actions and Docker on Kubernetes, cutting release cycles from three weeks to four days. Expanded test coverage with Jest and Playwright across TypeScript and Python, holding production defects below 1%. Mentored a team of 8 engineers through pairing and code reviews, raising delivery speed and overall code quality.

Created Node.js and Express services with Bull queues and Redis, processing 300k+ daily jobs at 99.9% uptime. Designed reusable React and Vue components in TypeScript, trimming bundle sizes and speeding page loads 35%. Improved MongoDB schemas and indexing with Mongoose, reducing query times on data-heavy endpoints by 25%. Added a Python NLP microservice behind a Node.js gateway for ticket routing, cutting manual triage about 30%. Streamlined deployments on GCP App Engine with GitLab CI and Terraform, reducing rollout errors and rework. Embedded Cypress and Mocha suites into CI with Sentry monitoring, reducing critical production incidents 25% YoY. Partnered with frontend and product teams on roadmap and reviews, improving release predictability across sprints.

Engineered feature modules in Node.js and Express with REST and GraphQL APIs, supporting thousands of daily users. Coded React and Next.js interfaces in JavaScript against Node.js endpoints, speeding feature delivery by 15%. Tuned MongoDB and PostgreSQL queries and indexes, decreasing response times 15% on data-intensive requests. Implemented a Python recommendation script feeding a Node.js API, improving content relevance and engagement. Connected AWS Lambda and S3 to Node.js services for media processing, scaling upload throughput nearly 3x. Validated releases with Jest and Cypress unit and integration tests, reaching ~80% coverage and cutting defects 18%. Collaborated with senior engineers in Agile sprints on reviews and best practices, improving maintainability.