M. Shahbaz

I build agentic systems, conversational AI, workflow automation, and full-stack AI products that connect models to real business operations.

Islamabad, Pakistan shahbaz.ai.dev@gmail.com github.com/Pakzone1 linkedin.com/in/shahbaz-shz32190

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Experience

Production AI systems and business workflow delivery.

Lead AI Developer

SPSNET

July 2024 - Present

Lead AI delivery across recruitment automation, BMS and CSM workflows, RFP and proposal pipelines, mentoring, and production support.
Built SPS Workspace, a unified Next.js platform for AI newsletter production, Microsoft Teams attendance tracking through Microsoft Graph, and live meeting voice agents for Meet, Teams, and Zoom.
Architected an IBM watsonx Orchestrate system with a master orchestrator and six specialist agents for HR, IT and inventory, FAQs, documentation, accounting, and sales.
Delivered recruitment automation covering talent discovery, ATS resume scoring, AI voice and video interviews, and multilingual transcription.

AI Developer, Part Time

Decimal Solutions

August 2025 - January 2026

Designed and deployed LLM-orchestrated automation systems that streamlined business workflows and reduced manual decision overhead for client teams.

Products I have taken from idea to working software.

B.R.A.I.N.

Multi-agent SaaS with website and WhatsApp agents, voice interviews, scheduling, lead research, Polar billing, and admin analytics.

AyroVoice

Live, role-aware AI interview experience that turns natural candidate conversations into structured recruiter-ready outcomes while keeping people in control.

AyroChat

WhatsApp AI workspace for customer replies, knowledge, leads, appointments, follow-ups, reporting, and human handover.

SecureDesk AI

AI-assisted helpdesk unifying email, web requests, and chat with governed triage, approvals, SLAs, and audit history.

BudgetIQ

Local-first Flutter app for expense and income tracking, AI-assisted voice and chat, and practical budget planning.

Dump

Focused Flutter app for capturing and organizing thoughts through text or voice, with local persistence.

Capabilities

A practical stack for taking AI products from workflow design through deployment.

Languages

Python, TypeScript, JavaScript, Dart, SQL

AI and LLM

OpenAI APIs, agentic AI, RAG, NLP, real-time voice, speech-to-text, IBM watsonx Orchestrate

Frameworks

Next.js, React, Flutter, FastAPI, Node.js

Data and integrations

MongoDB, MySQL, Supabase, Firebase, Microsoft Graph, Baileys, Twilio, Kapso

Delivery

Docker, Railway, Vercel, Git

BS Artificial Intelligence

COMSATS University Islamabad, 2022 - 2026

University website