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Islamabad, Pakistan · Open to relocation
Backend Lead Engineer / AI-first systems design
Eight-plus years building multi-tenant SaaS backends in NestJS, TypeScript and PostgreSQL. I design AI features to fail predictably: a three-tier fallback of retry, retrieval and a rule-based floor keeps them working through provider outages.
years on production backends
dashboard response time, an 83% cut
user-facing AI failures during LLM outages
uptime through live multi-tenant migrations
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Client systems are under NDA. Architecture is described without business data or endpoints.
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Education B.S. Computer Science, Government College University, Faisalabad, 2018
The ones on my résumé. Each links to the issuer's verification page.
Personal builds, public and verifiable.
A full write-up with architecture figures and a failure simulator.
Case study · Resilience pattern
One abstraction sits in front of OpenAI, Gemini and Anthropic. When a provider degrades, requests step down through three tiers instead of surfacing an error. The pattern cut AI integration complexity by 60% and kept users from seeing AI failures during live LLM outages.
Request
Provider gateway
OpenAI · Gemini · Anthropic
Tier 1
Retry & failover
Backoff, then the next provider
Tier 2
RAG fallback
Answer from retrieved context
Tier 3
Rule-based floor
Deterministic, never hard-fails
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Open to Backend Lead, Solutions Architecture and AI Platform roles, remote, hybrid or relocating. Every way to reach me lives on one page.
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