Aaliyan Ahmed R.

I build production-ready AI phone agents and automated workflows that eliminate missed calls, respond to leads in under 60 seconds, and book appointments directly into your business systems. Most voice AI setups fail because of awkward 2-second response delays and fragile tool-calling that breaks when callers interrupt. I engineer reliable, low-latency AI systems in Python and FastAPI that maintain sub-500ms response times, handle interruptions smoothly, and execute deterministic calendar and CRM bookings without hallucinating. PROVEN PRODUCTION BUILDS AND CLIENT RESULTS: - BookRoofs Command Center: Autonomous voice agent for roofing companies that answers inbound calls in under 2 rings, qualifies homeowner project scope, and books inspection slots directly into GoHighLevel or Google Calendar with 73 percent conversion. - SantaCruz Landscaping: High-ticket local service platform in Denver featuring automated lead qualification, real-time availability querying, and instant A2P SMS confirmation. - Cost-Optimized Voice Architecture: Cut voice operating costs by over 50 percent by replacing heavy multi-turn LLM loops with prompt-cached streaming pipelines (Deepgram Nova 2, Cartesia Sonic, Groq Llama 3, and Telnyx SIP). CORE EXPERTISE AND WHAT I DELIVER: 1. Conversational AI and Voice Phone Agents - Inbound receptionists, lead qualification agents, customer support, and appointment setters - Sub-500ms voice pipelines using Retell AI, Vapi, LiveKit, and Twilio - Semantic interruption handling, dynamic objection handling, and human warm-transfers 2. Workflow Automation and CRM Integrations - GoHighLevel, HubSpot, Airtable, and custom CRM architectures - Multi-step workflow automations using n8n, Make, or custom Python and FastAPI microservices - Instant speed-to-lead triggers: Form submission -> AI voice call and A2P 10DLC SMS within 45 seconds 3. Backend Tool-Calling, RAG and AI Engineering - Real-time calendar slot querying and booking (Google Calendar, Calendly, Cal) - Vector-indexed knowledge retrieval for deterministic FAQ and business policy handling - Machine learning model deployment, API integration, and custom data processing (PyTorch, OpenCV) TECH STACK: - Voice and Telephony: Retell AI, Vapi, LiveKit, Twilio, Telnyx SIP - STT and TTS: Deepgram Nova 2, Cartesia Sonic, ElevenLabs - Backend and Logic: Python, FastAPI, PostgreSQL, Redis, Docker - Automation and CRMs: n8n, GoHighLevel, Make, REST APIs, Webhooks - AI and LLMs: OpenAI (GPT-4o, mini), Anthropic Claude, Groq Llama 3, LangChain I care about one thing: does this system reliably generate revenue and function without breaking in production? I scope the architecture clearly, test edge cases rigorously, and stay hands-on until it performs exactly as your business needs. Send me a message with what you are looking to automate or deploy - let us build it.