Skip to content

Writing Projects About Resume Contact

Senior Backend Engineer · Mexico · UTC-6.

Writing

All writing
Journey
Projects

Profile

About
Resume
Contact

Connect

GitHub
LinkedIn
Email
RSS

© 2026 Adrian Romo. All rights reserved.Built with Next.js, Prisma, and Postgres.

active

Voice Orchestrator

Amazon Connect + Lex + Lambda fulfillment framework

Overview

Context, approach, and outcome.

An opinionated Python framework for building voice-first experiences on Amazon Connect. Handles intent routing, async prefetch, barge-in safety, and context handoff to human agents. Built from scratch after the fifth time I rewrote the same glue code.

Lessons

What I'd carry forward.

Voice budgets are unforgiving. Prefetching on utterance-start beats any downstream optimization. Barge-in changes more than you think.

Stack

Tools and platforms.

PythonAWS LambdaAmazon ConnectAmazon LexDynamoDBTerraform

Related writing

Notes from this project.

Daily Note: TIL — Polly SSML <mark> tagsPolly's SSML <mark> tags emit timing events over the stream. Useful for synchronizing on-screen captions to voice playback.
Building Voice Integrations on Top of Async ChatbotsWhat breaks when you front an async chatbot with Amazon Connect + Lex, and how to keep latency, barge-in, and context handoff sane.

Talk shop

Want to discuss this kind of work?

If you're hiring for similar backend, AWS, voice, or integration work — or just want to compare notes on architecture — reach out directly.

Email me View resume All projects