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About Ahmad
Most founders have a product idea but no clear path from prototype to something users can actually pay for. That's exactly what I solve.
I'm Ahmad, a full-stack developer with 3+ years of experience building AI-powered SaaS products and MVPs. I help startups and growing businesses go from idea to production-ready product, fast.
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What I specialize in:
1- AI SaaS & MVP Development:
I build full-stack SaaS products from scratch using Next.js 15 and Supabase, with proper multi-tenant architecture, Row Level Security, real-time features, and clean scalable code from day one.
2-Payment Integration (Stripe, Payoneer, RazorPay):
I implement end-to-end billing systems including:
- Subscription plans and one-time payment flows
- Webhook handling and invoice generation
- Payoneer and RazorPay for global and regional payout needs
- Metered billing and trial period logic
3-LLM API Integration (OpenAI, Claude, Gemini):
I integrate large language models directly into your product as a core feature that solves a real problem. I've shipped:
- AI chatbots with memory and context persistence
- Intelligent document parsing and summarization pipelines
- RAG systems connected to your own data
- Voice agent systems using ElevenLabs and LLM routing
4-AI Automation & Workflow Orchestration:
I build multi-step automation pipelines using n8n and Make that connect your tools, eliminate manual work, and run reliably 24/7.
My Tech Stack:
1- Frontend: Next.js 15, React, TypeScript, Tailwind CSS, Shadcn/ui
2- Backend: Node.js, Supabase (RLS, Edge Functions, Realtime), PostgreSQL, Firebase
3- Payments: Stripe, Payoneer, RazorPay
4- AI/LLM: OpenAI API, Anthropic Claude, Google Gemini, LangChain, ElevenLabs
5- Infrastructure: Vercel, Docker, GitHub Actions CI/CD, AWS, GCP
Who I work best with:
- Founders who need an MVP shipped fast without the technical debt
- SaaS teams looking to add payments or LLM features to an existing product
- Non-technical founders who built with AI tools and need a real engineer to take it to production
- Businesses that need clean, scalable architecture from the start
I respond within 4 hours, work in your timezone when needed, and communicate clearly throughout every project. No vague updates, no excuses, just shipped features.
If you're ready to build your product or integrate payments and AI, send me a message and let's scope it out.
Professional profile
- Location
- Pakistan
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Ahmad builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Multi-Agent Systems
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
05
Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- Multi-Agent Systems
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Airtable AI
- Amazon Bedrock
- Anthropic Claude
- Anthropic Workbench
- Anyscale
- Apache Airflow
- Apache Cassandra
- BGE Embeddings
- BigQuery
- Brave Search API
- Bubble
- Chroma
- Claude Agent SDK
- Claude Code
- Cloudflare MCP
- Convex
- Datadog LLM Observability
- Deepgram
- DynamoDB
- FAISS
- Framer
- Guardrails AI
- Hugging Face AutoTrain
- MongoDB Atlas Vector Search
- Opik
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cloud & Infrastructure Providers
Builder declared
Data & Analytics
Builder declared
EdTech
Builder declared
FinTech
Builder declared
IT Services & Systems Integration
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Ready to discuss your AI implementation?
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