.png){kind=logo}
Muhammad Midhat
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
Connect with Muhammad
Muhammad already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).
Experience
Education
Key Strengths
- Built and operated AI-enabled backend on GCP/Kubernetes serving ~20k+ monthly users
- Diagnosed and reduced p95 latency ~60% via async queueing, indexing, caching, and autoscaling
- Designed scalable async processing with BullMQ, retries/backoff, dead-letter handling, and queue-lag alerting
- End-to-end ownership of LLM application features (RAG, prompt orchestration, vector storage, monitoring, evals)
- Strong AI reliability/accuracy guardrails: strict RAG, schema validation, citations, confidence scoring, feedback loops
- Designed robust agent/workflow systems with plan/execute/verify separation and bounded, idempotent execution
- Production operations maturity: correlation IDs, structured logs, metrics, feature-flag rollouts and rapid rollback
- Database performance tuning: partial indexes + materialized views improving query latency from ~4s to <200ms
Discover more candidates like Muhammad
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent