1
1
Pakistan
1 year of experience
I am a Co-Founder at Nuera Agency, where we help businesses streamline operations, automate workflows, and scale efficiently through AI-powered solutions and modern cloud-native architectures. Our work focuses on building intelligent AI agents, workflow automation systems, and high-performance web applications that solve real operational problems and drive measurable business impact. Alongside running Nuera Agency, I am pursuing a Bachelor of Science in Computer Science at Sir Syed University of Engineering and Technology and am actively enrolled in the Agentic AI & DACA Cloud-First Development program by PIAIC, a 1-year hybrid program centered on context-aware AI agents and production-grade cloud deployments. My technical stack includes Next.js, MCP, n8n, Docker, OpenAI SDK, Supabase, FastAPI, and Node.js, which I use to design, build, and deploy scalable, automation-first systems. I am open to strategic partnerships, AI development roles, and cloud-native engineering opportunities where I can contribute through agency-level execution, system design, and real-world problem solving.

rocureFlow AI solves a common enterprise workflow problem: purchase approvals are slow, fragmented, and hard to audit. A single request often moves across finance, vendor risk, policy review, and management sign-off with no clear shared state. ProcureFlow AI turns that process into a coordinated multi-agent workflow on Band. IntakeAgent parses and normalizes the purchase request. RiskAgent evaluates vendor and spend exposure using API-compatible reasoning. PolicyAgent checks procurement controls and can flag or block the request. FeatherlessReviewAgent runs an independent open-source model review through Featherless AI before final approval. ApprovalAgent gathers all context into a human-readable decision memo and waits for explicit human sign-off. Each agent posts its handoff/result into the same Band chat room using External Agent API keys, so judges can inspect the coordination live. After the human decision, the system writes an audit packet containing the original request, AI/ML risk report, policy verdict, Featherless review, approval summary, signer, timestamp, and SHA-256 hash. The frontend provides a complete enterprise workflow: Submit, Dashboard, Approvals, Agent Timeline, and Audit Packet. The result is a practical internal enterprise workflow where Band is the visible coordination layer, humans remain in control, and every decision is traceable.
19 Jun 2026