Mohammed Abdul Aziz

About

Full-stack engineer from an early-stage AI SaaS startup who owned and shipped a production AI-powered PDF document chat and sharing feature end-to-end (React/TS + Node + Postgres on AWS). Demonstrates strong product thinking through layered success metrics and tight feedback loops, plus hands-on reliability/observability work (CloudWatch, structured logging, alarms) and robust ingestion pipeline patterns (idempotency, retries, reconciliation).

Experience

Education

Key Strengths

• End-to-end ownership of production full-stack features (frontend, backend, deployment/ops)
• Built AI PDF document chat + email-based sharing workflow in a live SaaS product
• Strong product/UX instrumentation mindset (usage, quality/reliability, outcome metrics)
• AI feature quality optimization (chunking, retrieval/re-ranking, latency, time-to-first-token)
• Robust frontend state modeling (loading/error/empty states, optimistic UI, retry handling)
• Pragmatic architecture for maintainability (service/repository layers, reusable components, typed hooks)
• AWS production operations with observability (CloudWatch structured logs, alarms, request IDs) and environment separation
• Reliability engineering for integrations/pipelines (idempotency, retries with backoff, reconciliation/alerting)