Layer 01
Frontend
Product experience
- Next.js
- React
- TypeScript
- Tailwind CSS
- Framer
About
Founder-led.
Direct engineering.
Real output.
ZamDev AI is a founder-led AI product and automation studio. The person who maps the workflow and scopes the system stays directly involved in architecture, engineering, evaluation, and handoff.
07 / FOUNDER
Close to the code. Accountable for the outcome.
ZamDev AI is a founder-led studio for teams turning an AI opportunity, operational bottleneck, or product idea into an owned system people can use.
Zamad Shakeel
Founder & CEO / Full-stack & AI systems
Lahore / Global
Zamad works directly with founders, product teams, and business leaders to build AI products and automations around work that needs to become faster, clearer, or easier to scale.
The work begins with the people, decisions, systems, and exceptions inside the workflow. Product design, AI behavior, integrations, data access, evaluation, reliability, and deployment are then engineered as one operating system. Technical decisions remain close to the person doing the engineering, so there is less translation between the first conversation and what ships.
Direct involvement
The person who scopes the work stays close to the code, reviews, and delivery decisions.
Outcome-led engineering
The workflow, user decision, and measurable result shape the system before the stack does.
Owned handoff
You receive the repository, documentation, deployment setup, and product IP.
Certifications & training
Applied learning across machine learning and agent systems
- 01Stanford ML SpecializationMachine learning
- 02IBM AI Agents SpecializationAgent systems
- 03LangChain & LangGraphAI orchestration
- 04Agentic AI (CrewAI / AutoGen)Multi-agent workflows
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Name the people. Agree the responsibilities.
Founder-led does not mean an unnamed team or an assumed support plan. Confirm these arrangements in the written scope before implementation starts.
- Delivery and review
- Name who implements, who reviews, and the client decision-maker. Identify any collaborators and access requirements in the proposal.
- Availability and continuity
- Agree communication windows, escalation, planned absences, and any backup arrangement. Do not assume 24/7 coverage or a standby team unless explicitly included.
- After launch
- Separate defect resolution, ongoing support, and new feature work. Record the support period, response expectations, price, and owner.
- Your operating responsibilities
- Assign owners for hosting and provider accounts, access decisions, business approvals, and ongoing model/infrastructure costs. Include the repository, runbook, and access handoff in acceptance.
07 / TECHNOLOGY SYSTEM
A connected stack, chosen for the work it must perform.
Recognizable tools matter. The more important visual is how product experience, application logic, AI, data, automation, and delivery connect as one operable system.
Frontend
Backend
AI / ML
Automation
Database
Infrastructure
Layer 02
Backend
Application logic
- Node.js
- FastAPI
- Python
- REST
- WebSockets
Layer 03
AI / ML
Evaluated intelligence
- LangChain
- LangGraph
- OpenAI
- Anthropic
- Ollama
- RAG
- MCP
Layer 04
Automation
Workflow orchestration
- n8n
- Webhooks
- Celery
- Redis
- Queues
Layer 05
Database
Data and access
- PostgreSQL
- Supabase
- PostGIS
- Redis
- Vector search
Layer 06
Infrastructure
Delivery and operation
- Vercel
- AWS
- Docker
- GitHub Actions
- Playwright
04 / DELIVERY COMMITMENTS
Five commitments, visible from scope to handoff.
The commercial model, review rhythm, ownership, and production standard are clear before engineering begins.
01
100%
Code, repository, and product IP handed to you
02
Fixed Scope
Written deliverables and exclusions before the build starts
03
Frequent Demos
Working software reviewed throughout delivery
04
Production
Deployment, tests, documentation, and operating handoff
05
Global
Async-first delivery for teams across time zones
[ Ready when you are ]
Bring the work that needs a better system.
Share the current workflow, product idea, operating constraint, and result you want to improve. We will recommend a practical next step and say plainly when the fit is not right.