About

I'm an AI Specialist and Full Stack Engineer with 3+ years delivering production LLM systems, voice AI agents, workflow automation and data platforms.

Today I'm the sole developer at Luxury Properties Hub in Dubai. I take systems from requirements with business teams through to deployment, monitoring and support: AI calling agents, n8n pipelines, and a property data engine holding 40M+ records.

If you're building something where AI has to work reliably in production, not just in a demo, I'd like to hear about it. Get in touch.

How I Work

The model is one component, not the product. What makes a system reliable is everything around it: clean data, retrieval, validation, permissions and observability.

  • I own the full delivery cycle: requirements, architecture, build, release and support.
  • I design unattended jobs to fail safely, with logging, retries, alerting, test modes and audit logs.
  • I validate LLM output before it touches anything real. JSON is checked before an email is sent.
  • I scope, demo and roll out with sales, marketing and management, and write docs non-technical users can follow.

Journey

  • 2023I started building AI-assisted client platforms for teams in Dubai and India, using LLMs, RAG pipelines and vector search on AWS.
  • 2025I built a trading academy platform end to end for Blackstar Traders Bureau (BTB), then graduated in Computer Science & Engineering.
  • 2025I joined Anvaaya Healthtech as a Software Engineer in AI/ML, shipping an AI chatbot and leading an architecture migration.
  • 2026I joined Luxury Properties Hub in Dubai as its AI Specialist.

What I Build With

  • AI and LLMs: OpenAI (including Realtime), Anthropic Claude, Amazon Bedrock, Ollama, LangChain, LlamaIndex, LangGraph.
  • Voice AI: Retell AI, LiveKit Agents, Telnyx SIP and Voice API.
  • Automation: n8n, webhooks, Google Sheets API, Microsoft Graph, Brevo, Chrome extensions (MV3).
  • Data: PostgreSQL, MongoDB, FAISS, Python ETL with pandas.
  • Stack: Python, TypeScript, FastAPI, React, Node.js, Docker, AWS.

Certifications

  • AWS Academy Graduate: Cloud Architecting.
  • Getting Started with AI and Machine Learning.
  • Reinforcement Learning Foundations.
  • Building Computer Vision Applications with Python.
  • Deep Learning Foundations: Natural Language Processing with TensorFlow.