$ cat about.txt
About
Senior full stack and AI engineer. 5+ years shipping APIs and the systems behind them in Node.js, TypeScript, NestJS and Express, on PostgreSQL, MongoDB and Redis, deployed to AWS, with React and Next.js up front. I own services end to end: schema, API contracts, CI/CD and production debugging.
My core work is multi-tenant SaaS: one codebase, many clients, each on its own database. I resolve the tenant on every request and inject its connection, so tenant logic never touches business code. I also build serverless API layers on AWS that absorb 10,000+ concurrent requests by moving long-running work off the request path.
Since January 2026 I have added AI engineering: LLM features with RAG and tool calling, fine-tuning of frontier and open-source models, and multi-agent pipelines where planner, implementer, verifier and fixer agents take a ticket to deploy behind human approval gates. I ship them like any backend feature, with budgets for cost, latency and failure.
I work directly with clients on scope, architecture and delivery, and I own what I ship.
# APPROACHMost projects fail on an undefined problem, not on the code. I pin down the problem before I build.
What I work on
Multi-tenant SaaS backends
One codebase, many clients, each on its own database. At Techtiz: two healthcare tenants with multiple clinics each, isolated by resolving the tenant per request and injecting its connection through NestJS dependency injection. On Teamstart: a semi-multi-tenant design that gave each client custom scheduling without forking the product.
Serverless APIs on AWS
API Gateway and Lambda layers where capacity follows real demand and long jobs run on separate functions. At TechBucks: 10,000+ concurrent requests at 300 ms warm response times. On D[AI]LY: LLM generation kept off the API's request path.
AI features and agentic systems
LLM integration with RAG and tool calling, fine-tuning of frontier and open-source models, and multi-agent pipelines that run headless under a plain-code state machine, in isolated git worktrees, with human-approved deploys. Each one ships with a cost and latency budget and a failure plan.
Integrations and identity
Third-party services wired in with retries and fallbacks: Bexio accounting on ConstructPro, a ticketing portal at Techtiz, WordPress and Webflow on D[AI]LY. Auth with OAuth 2.0, JWT and SAML 2.0 SSO across 10+ identity providers.
Background
I studied Software Engineering at COMSATS University Islamabad, Lahore Campus, and started shipping in 2020 while still a student: a commercial WordPress plugin at Asian Solutions that brought SAML 2.0 single sign-on to 10+ identity providers.
In 2022 I moved to JavaScript backends: serverless APIs on AWS at TechBucks, then a multi-tenant NestJS healthcare platform at Techtiz. I have taken independent client work since October 2024, and joined 10Pearls in August 2025, starting as a senior backend engineer and now owning the full stack of a consumer PDF platform.
In 2026 I added AI engineering in Python, including the AI Engineer Core Track: LLM engineering, RAG, QLoRA and agents.
The full timeline is on Experience, and the work itself on Projects.