Lead Full-Stack Engineer
Ahsan Nadeem
Full-stack engineer who builds complex SaaS platforms and high-performance marketing sites, from database schema to front end.
- TypeScript
- SaaS architecture
- Payload CMS
- TypeScript
- Payload CMS
- Node.js
- PostgreSQL
Give your team back the hours they spend on busywork.
We build LLM features and automated workflows that connect the tools you already use, with clear boundaries, human approval steps and monitoring.
- RAG on your data
- LLM features
- Automation in code
AI that acts, not just chats.
Triage and route incoming work
Classify emails, tickets and form submissions, extract the details and send them to the right person or system.
Draft, then ask for approval
Agents prepare replies, reports or records and wait for a human to approve anything that matters.
Move data between your apps
Sync CRM, spreadsheets, accounting and support tools on events instead of copy-paste.
Observable and reversible
Every run is logged, failures alert a human, and nothing irreversible happens without a check.
Where AI fits your business.
Workflow & Business Automation
Scripts, bots and event-driven automations that move data between your apps and remove manual copy-paste.
LLM Integration & AI Chatbots
Chat, search and AI features grounded in your own documents and data (RAG), added to your site or product.
Start small, prove value, then scale.
Your automation team.
Full-Stack, Data & Cloud Engineer
Abdul Haq Khalid
Full-stack engineer who builds web apps together with the data pipelines and cloud infrastructure behind them, from idea to production.
- Full-stack development
- Data engineering
- DevOps
- React
- Next.js
- Node.js
- Python
AI automation questions.
Is our data used to train AI models?
We configure providers and self-hosted options so your data isn't used for training, and we keep sensitive data out of prompts where possible.
Can the AI run on our own servers?
Yes. We use hosted models such as OpenAI or Gemini, or run an open model like LLaMA on your own infrastructure when the data has to stay in-house.
What if the AI makes a mistake?
We design for it: confidence thresholds, human approval for important actions, validation of outputs and full logs so every decision can be reviewed.
What would you automate first?
Tell us what you're building, what's slowing your team down or what you'd like to automate. We'll come back with honest next steps and a clear estimate.
No obligation and no sales script.