Resume
Adrian Romo
Senior Backend Engineer · 8+ years · Python · AWS · Voice & integrations
40–60%
Help-desk call volume reduction at Espressive's enterprise virtual support agent.
0
Critical security vulnerabilities maintained over 2 years across enterprise integrations.
8+ yrs
Backend engineering across enterprise SaaS, fintech tooling, and voice automation.
Experience
Senior Backend Engineer
September 2022 — Present
Espressive — virtual support agent & omnichannel integrations · Santa Clara, US · Remote from Mexico
Building scalable Python backend systems, secure enterprise integrations, and omnichannel/voice automation for Espressive’s virtual support agent platform. Focused on API design, authentication, AWS Lambda infrastructure, maintainability, and cross-functional delivery.
- Engineered and optimized RESTful APIs and Python backend systems for Espressive’s virtual support agent, helping reduce help-desk call volume by 40–60%.
- Designed and implemented a Factory Method–based omnichannel integration framework with shared testing utilities across Slack, Microsoft Teams, Google Chat, and Webex.
- Architected and led an IVR Voice Agent integration using Amazon Connect, Amazon Lex, AWS Lambda, and Polly to bridge asynchronous chatbot conversations into IVR flows.
- Directed secure API development and advanced authentication efforts, achieving 100% compliance with enterprise security standards across integrations.
- Led secure-by-default patterns across services, including MFA and secrets handling, maintaining zero critical vulnerabilities over 2 years.
- Administered AWS Lambda infrastructure for scalable, multi-region deployments.
- Mentored engineers and led code reviews to improve maintainability, performance, and review quality standards.
- Collaborated with front-end, product, QA, and UX teams to deliver backend solutions that supported 80–85% adoption rates and fewer support interactions.
- Improved agile collaboration, documentation, and delivery practices, accelerating sprint delivery by 25%.
PythonREST APIsAWS LambdaAmazon ConnectAmazon LexAmazon PollyMFAAuthenticationSecrets HandlingSlackMicrosoft TeamsGoogle ChatWebexBackend Engineer
January 2021 — September 2022
46Degrees — backend automation & microservices · Chile · Remote
Developed backend automation, API testing infrastructure, microservice integrations, and CI/CD workflows using Python, Flask, Selenium, Docker, Kubernetes, and Terraform.
- Developed automated API testing bots using Selenium, Flask, and Object-Oriented Programming in Python, integrated into CI/CD pipelines via Jira and GitHub.
- Increased bug detection efficiency by 150% and reduced manual testing time by two-thirds, tripling test efficiency.
- Implemented Swagger-based API documentation, reducing manual documentation time by approximately 75%.
- Engineered scalable backend projects integrated with 10+ existing and new microservices.
- Used Jira under SCRUM methodologies to improve team productivity by approximately 30% and reduce project tracking errors by 50%.
- Directed continuous testing and code optimization using Pytest and SonarQube, reducing production defects by 40%.
- Helped improve deployment frequency from bi-weekly to weekly releases.
- Improved cross-team issue resolution by 25% through daily SCRUM sessions and bi-weekly backend/frontend syncs.
- Spearheaded backend microservice infrastructure using Docker, Kubernetes, and Terraform, improving reliability by 40% and reducing provisioning times by 60%.
PythonFlaskSeleniumOOPPytestSonarQubeSwaggerREST APIsDockerKubernetesTerraformJiraGitHubCI/CDFull-Stack Engineer
January 2017 — January 2021
Financial Health — internal tools & automation · Mexico City, MX
Built responsive user interfaces, internal automation tools, data migration workflows, and Python-based productivity systems supporting sales, operations, and client management.
- Built responsive front-end interfaces with HTML and CSS, improving data collection speed by 70% and increasing sales by 80%.
- Leveraged form data to improve market segmentation using AI-driven workflows.
- Migrated Excel-based workflows into internal databases using Python scripts, reducing data entry errors by 90%.
- Automated client renewal scheduling and internal operational processes.
- Developed Python automation tools from business requirements, saving 10 hours monthly per employee.
- Automated PDF form completion with Python NLP scripts, reducing call durations and typos by 50%.
PythonHTMLCSSSQLNLPPDF AutomationData MigrationInternal ToolsAutomation