luis gonzalez

About

Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.

Experience

Education

Key Strengths

• Shipped LLM-powered assessment content generation to production using Python microservice + AWS Bedrock + SQS + Lambda
• Reliability patterns for LLM systems (Pydantic validation, guardrails, retries/exponential backoff, standardized errors)
• AWS production operations and CI/CD (CodePipeline, CloudWatch logging/monitoring)
• Performance/scaling improvements by decoupling heavy file uploads from Go API into queue/Lambda architecture
• Backend API design fundamentals (tenant-scoped auth claims, URI versioning, global exception layer)
• Serverless performance tuning (batching, memory sizing, RDS Proxy/connection pooling)
• Frontend performance optimization in React/TypeScript (useMemo to reduce re-renders in data visualization UI)
• PostgreSQL schema/index iteration using production-like workload testing and EXPLAIN