Jules Avila

DashOne.ai — Merida, Mexico (LATAM)

• Architected and built a multi-agent AI system (Dante) that runs operations, communications, and content generation autonomously across LinkedIn, Instagram, and WhatsApp.
• Lead delivery for AI-native automation and distributed systems engagements across LATAM mid-market and enterprise clients, from architecture through production.
• Built the technical delivery model — fixed-scope engagement structure, engineering process, and lead generation system — from scratch.

iLuk AI — Mexico (Remote)

• Defined the AI Workers architecture and agentic system design for an AI-native regulatory compliance platform (KYC, KYB, AML automation).
• Led engineering and product design teams through weekly execution cycles, translating business requirements into technical architecture.
• Focused on scalable automation, reducing manual work and improving release readiness across the platform.

500 Global — Silicon Valley (Remote, 10+ countries)

• Owned Systems Operations end-to-end — architecture, integration, and reliability across 10+ platforms spanning CRM, legal, finance, and communications, deployed across 10+ countries.
• Delivered an automated investment lifecycle platform integrating CRM, Legal, and Finance, eliminating manual workflows and driving $600K+ in annual cost savings.
• Introduced CI/CD pipelines that cut deployment cycles from monthly to weekly, and established engineering OKRs for real accountability.
• Initiated a cloud-native data platform strategy to support analytics and compliance at scale.

Hola Cash — Mexico City (Fintech, Regulated)

• Defined and implemented service-oriented, domain-driven architecture to improve platform scalability and reliability.
• Led API strategy for external partners using OpenAPI standards, and drove infrastructure modernization with the CTO.
• Implemented CI/CD best practices and performance monitoring, improving deployment frequency and system resilience.

RunaHR — Mexico City (Payroll Platform)

• Led Core Product, SRE, and Internal Tools across 25+ engineers, owning architecture decisions, hiring, and delivery process.
• Cut onboarding time 70% (6–8 weeks to 2 weeks) and optimized delivery cycle time from 2 months to ~1.3 weeks.
• Migrated 5 monitoring tools into Datadog (25% cost reduction) and introduced Amplitude analytics for data-driven engineering decisions.

GBM — Mexico City (Mexico's largest brokerage)

• Led a 26-member engineering team through a full re-architecture and cloud migration of a regulated, customer-facing investment platform, zero tolerance for downtime.
• Implemented a BFF (Backend for Frontend) pattern and re-architected Application Services for scalability, maintainability, and performance.
• Delivered the company's first cloud-native platform with modern CI/CD, coaching the team through LeSS to sustain delivery beyond direct involvement.