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I build production software end to end, and lately most of that work has been teaching software to answer the phone. At Join Venture AI I ship the backend that turns a live phone call into a booked appointment — no human in the loop.
Currently Working on → event-driven voice pipelines that survive
duplicate and out-of-order webhooks
Learning → LLM evaluation, streaming inference
Open to → remote full stack / AI integration roles
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AI Restaurant Discovery · choosie.net React Django REST PostgreSQL OpenAI Conversational ordering — users describe what they want in plain language and get matched restaurants. Cached and batched OpenAI calls to keep latency low and API cost predictable. |
AI Voice Receptionist · Google Play Django Twilio Vapi React Native Event-driven backend where Twilio handles telephony, Vapi drives the voice agent, and webhooks advance booking state. In-app transcripts for every automated call. |
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Augmented Reality Menu · demo React WebAR AWS S3 Browser-based AR previewing 3D dishes with zero app install. Compressed glTF assets served from S3 to survive mobile data. |
MerinaSoft, 2023–24 React Node.js PostgreSQL Billing, live inventory, and an e-commerce platform with payment gateway and admin panel. Rewrote inventory queries with joins and indexes to stay accurate at peak load. |
inbound call
│
▼
┌──────────┐ webhook ┌──────────────────┐
│ Twilio │ ─────────────► │ Django REST │
│ telephony│ │ idempotency + │
└────┬─────┘ │ retry layer │
│ └────────┬─────────┘
│ audio stream │ enqueue
▼ ▼
┌──────────┐ ┌──────────────────┐
│ Vapi │ │ Celery + Redis │
│ + OpenAI │ │ transcription │
└──────────┘ └────────┬─────────┘
│ WebSocket
▼
┌──────────────────┐
│ React Native │
│ live status │
└──────────────────┘
Every webhook carries an idempotency key, so a duplicate or delayed call event never corrupts booking state. Transcription runs off the request path on Celery workers, with progress pushed to clients over WebSockets.
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