About

I'm Shahzaib, a Full-Stack AI Engineer based in Pakistan. I build production AI systems end-to-end: RAG pipelines, multi-agent workflows, voice AI agents, and the backend and frontend that ships them to users.

As a founding engineer across hospitality, legal, governance, and SaaS, I've led teams, owned roadmaps, and shipped from zero to production.

Beyond writing code, I do product research, write technical specs, and translate them into sprint plans. I'm comfortable owning a product end-to-end or plugging into an existing team as a technical lead.

Outside of work, I'm driven by my faith. It shapes how I approach building, leading, and solving problems.

What I'm building

Simplora.ai : AI-powered meeting management platform that automates the complete meeting lifecycle with pre-meeting briefs, real-time summaries, and automatic action item extraction. Scaled to 300+ active users.

DreamDesk AI : Enterprise AI for hospitality with multi-channel agents handling phone calls, emails, web chat, WhatsApp, and Booking.com. Integrates with Mews and Guestline PMS for real-time reservation sync.

Educational Background

I studied Computer Science at NUCES (FAST), graduating in 2024. During my studies I co-authored research at the intersection of AI and software engineering.

Research Project Details:

LLM-assisted High-Quality Property Generation for Solidity Smart Contracts

under review

Under review at STVR · Collaborated with Dr. Hassan (DFKI Bremen) & Dr. Jalil (UAEU) · 2024

  • Proposed an LLM-assisted pipeline to generate high-quality test invariants for property-based testing of Solidity smart contracts.
  • Built an intelligent agent to automatically resolve compilation errors in LLM-generated properties.
  • Evaluated prompt engineering techniques and fine-tuned hyperparameters to reduce hallucinations.
  • Benchmarked via mutation testing, LLM-assisted approach achieved a 25.99% mutation score vs 31.75% manual, demonstrating meaningful reduction in human effort.
LLMSolidityProperty-based TestingMutation TestingLangChainAzure MLAI4SE

Stack & how I work

I work across the full stack and own deployment end-to-end:

  • Backend: FastAPI, Node.js, gRPC, REST
  • Frontend: Next.js, React, TypeScript
  • AI / Agents: LangChain, LangGraph, LlamaIndex, RAG, Voice AI (LiveKit, VAPI), Pydantic AI, AWS Bedrock, MCP servers
  • Infra & DevOps: Docker, GCP, AWS EC2/S3, Nginx, GitHub Actions, Digital Ocean
  • Databases: PostgreSQL, MongoDB, Redis, Supabase, Pinecone, pgvector

Get in touch

Want to collaborate, discuss AI, or just say hi?

hello@shahzaib.ai book a call