Open to senior and staff backend engineering roles · Remote · UTC-6
Senior Backend Engineer building reliable Python, AWS, and conversational AI systems.
I'm Adrian Romo. 8+ years building scalable Python APIs, AWS Lambda architectures, and conversational AI for enterprise virtual support agents — Amazon Connect and Lex voice flows, NLP-driven automation, and omnichannel integrations across Slack, Microsoft Teams, Google Chat, and Webex.
Experience
40–60%
Help-desk call volume reduction at Resolve Systems' enterprise virtual support agent.
Zero critical vulns
Across enterprise integrations, maintained over 2 years.
8+ yrs
Backend engineering across enterprise SaaS, fintech tooling, and voice automation.
Selected work
Engineering case studies
A few systems I've designed, shipped, and operated. Stack, role, and outcome — links open the full write-up.
Grocery Cart Bridge
Turns a meal-planner shopping list into a reviewable cart proposal — and stops there, deliberately
Short-Form Video Pipeline
GPU-local script-to-render automation, deployed twice: CUDA at home, CPU-only for public demo
Homelab Second Brain
A compiled memory layer that answers infrastructure questions in 2-5K tokens, with citations
Writing
Recent technical writing
Architecture notes, project logs, and engineering reflections.
Teaching a System to Say “I Don’t Know”
The most useful thing my homelab brain does is refuse to answer. Grounded-or-blocked: every claim cites the fact that produced it, or it never reaches me.
A Second Brain That Refuses to Guess
Answering an operational question was costing a local model a 30-50K token dump. I built a compiled memory layer that does it in 2-5K, and blocks itself when it cannot cite a source.
Building Voice Integrations on Top of Async Chatbots
What breaks when you front an async chatbot with Amazon Connect + Lex, and how to keep latency, barge-in, and context handoff sane.
Technical expertise
What I work with
Tools and platforms I reach for, grouped by where they show up in the work.
Backend
- Python
- Django
- Flask
- REST APIs
- Celery
- Object-Oriented Programming
- Pytest
Cloud / AWS
- AWS Lambda
- Multi-region deployments
- S3
- IAM
- Docker
- Kubernetes
- Terraform
- CI/CD pipelines
Voice / IVR
- Amazon Connect
- Amazon Lex
- Amazon Polly
- Speech-to-text / Text-to-speech
- NLP
- Asynchronous IVR flows
Integrations
- Slack
- Microsoft Teams
- Google Chat
- Webex
- Enterprise application integration
- Authentication / MFA
- Secrets handling
Databases / Infrastructure
- Postgres
- Redis
- SQL
- Schema design
- Data migration
- Performance optimization
- SonarQube
About
How I work
I focus on backend systems where reliability, security, and maintainability are non-negotiable — APIs that survive enterprise scale, integrations that hold under real production load, and voice infrastructure that handles support traffic without compromise.
I value clear architecture, secure-by-default patterns, reusable frameworks over repeated fixes, and code that future engineers can safely change. I work cross-functionally with product, QA, and UX, lead code reviews, and ship to multi-region AWS Lambda environments.
More about meContact
Open to senior backend engineering roles.
If you're hiring for Python, AWS, voice, or backend platform work — or want to talk architecture, integrations, or scaling enterprise support — reach out directly.
Or ask my AI assistant — it answers questions about my experience, projects, and stack, grounded in this site's content.