4+
Years engineering
16
Projects delivered
3,800+
Client hours
100%
Project success rate
What we build
All services →AI / Agents
AI Products & Agentic Systems
LLM applications, RAG pipelines, tool-using agents and MCP integrations built for production traffic.
From $2,500
Web / Platforms
Web & Enterprise Platforms
Next.js and React applications, operational dashboards and internal tools with real data models behind them.
From $1,800
IoT / Telemetry
IoT & Real-Time Telemetry
MQTT and AWS IoT pipelines, device integration and real-time dashboards for physical operations.
From $3,000
ERP / Automation
ERP Customization & Automation
Frappe and ERPNext customization, custom DocTypes, workflow automation and device integrations.
From $2,000
Consulting
AI Integration & Consulting
Adding AI to a product already in production, plus technical audits and architecture review.
From $45/hr
Selected work
All case studies →AI/Productstarlingmx.com
Starling MX
AI-native organizational intelligence platform. We built the AI-first workspace interfaces, document workflows and brand asset management at the core of the product.
Next.js · TypeScript · Supabase · Notion · Claude · Gemini
AI/MLgotobeat.com
Gotobeat
Technology and data OS for the live music industry. We built the prediction and agent layer behind artist and venue demand forecasting.
Python · XGBoost · LLM agents · Gemini · MCP · Telnyx
AI/Productprivate client
Cleverseed
AI-powered content editing platform. We built a fully custom rich-text editor with contextual AI actions available inline as writers work.
Tiptap · React · Next.js · TypeScript · LLM APIs
What we bring to your team
Product-minded
We ask what the workflow is for before we ask what to build.
Production AI thinking
Evaluation, cost, latency and failure modes designed in, not discovered later.
Cross-stack ownership
Frontend, backend, data and infrastructure handled by the same team.
Disciplined iteration
Weekly increments you can review, with scope changes agreed in writing.
How delivery works
01
Scope
Workflow, constraints and success criteria agreed in writing.
02
Architect
Data model, AI layer and integration boundaries defined first.
03
Build
Weekly increments, reviewable at every stage.
04
Ship
Deployment, monitoring and handover documentation.
Engineering lead
Ahmed Khalid
Senior AI Software Engineer · Full-Stack Engineer · Lead UI Developer. Leads architecture, AI integration and product delivery across every engagement.
Top Rated Plus5.0 rating100% job success
A small senior team, accountable end to end.
No layers between the person scoping your project and the person shipping it. Four years of engineering across enterprise AI, live music data, content tooling, IoT and fuel, energy and education ERP.
Meet the teamHave something that needs to ship?
Scope agreed in writing, architecture first, weekly increments you can review. Start with a 30-minute call or send the brief.