Andrés Carrillo

As the co-founder and legal representative of Innovafour, I lead the end-to-end design, architecture, and development of the entire platform, while also being at the forefront of every project. My role includes building tailor-made software solutions, managing client relationships, and ensuring the successful delivery of high-quality products. I built a fully integrated ecosystem that includes:

• A high-performance backend in Golang with PostgreSQL, focused on scalability, reliability, and secure multi-tenant architecture.
• Cross-platform mobile apps in Flutter for iOS, Android and Windows, featuring real-time access control, amenity reservations, visitor registration, push notifications, and seamless integrations with Firebase and other services.

Impacts:

• Enabled residential complexes to digitize and automate their daily operations, improving user engagement and reducing manual workloads for administrators and security personnel.
• Reduced response time for access requests and reservations by over 70% through real-time infrastructure and optimized UX flows.

Lead mobile development and architecture as Chapter Lead, driving best practices across teams. Specialized in modular Flutter micro-packages architecture. Developed scalable backend systems using Golang and hexagonal architecture. Built microservices in an event-driven ecosystem leveraging Kafka. Created KrakenD plugins for authentication, caching, and dynamic user context injection via Redis and PostgreSQL. Built a conversational shopping bot using N8N and AI, integrated with the product catalog and Algolia search to allow users to find and purchase products directly via chat.

• Led the Flutter mobile architecture strategy, creating reusable micro-packages that were used across teams, helping speed up the launch of new features.
• As Chapter Lead, mentored multiple teams, defined best practices, and facilitated architectural consistency in both frontend and backend development.
• Delivered critical backend services in Golang, applying hexagonal architecture and DDD principles to ensure testability and long-term scalability.
• Built event-driven microservices powered by Kafka to decouple components and scale operations across markets.
• Built KrakenD plugins in Go to extend its capabilities with Redis-based caching, custom authentication logic, and dynamic modification of request/response headers and bodies using data from PostgreSQL.
• Created a smart shopping assistant bot using N8N and AI, capable of searching for products through Algolia, accessing the app’s product catalog, and managing purchases by adding items to the cart — all within a conversational chat interface.

Impacts:

• Cut infrastructure costs by 90% and improved the mobile app's stability and scalability, enabling TUL to handle rapid growth and multi-region operations.
• Accelerated mobile development velocity by introducing a modular Flutter micro-package architecture adopted across all mobile teams.
• Decreased critical data load times by over 60% using custom-built KrakenD middleware for dynamic response caching and user-context injection.
• Strengthened engineering culture by mentoring developers, defining architecture standards, and leading chapter-wide initiatives.
• Enabled fine-grained personalization by dynamically injecting user, tenant, and regional data into requests and responses using Redis and PostgreSQL.
• Reduced authentication and authorization-related bugs by building custom middleware in KrakenD with configurable rules per environment and client.
• Improved web performance by migrating most components to server-side rendering (SSR) using Next.js, reducing load times by 60% and enhancing user experience.

Led mobile development and introduced methodologies to enhance maintainability and scalability of projects. Developed apps integrating hardware interactions via MQTT and advanced background services.

• Developed vending machine and smart locker apps using MQTT protocol.
• Built apps for real-time location tracking of delivery personnel with map integration.
• Created facial and text recognition solutions using Firebase ML Kit.

Impacts:

• Enabled real-time tracking and control of hardware devices, improving service reliability and reducing support issues.
• Reduced integration time with third-party hardware systems through modular and reusable communication logic.

Developed 4 production-grade Flutter apps, covering delivery, transportation, and offline-first solutions.

• Built a full-featured delivery app with tracking, payments, and real-time chat (user and seller versions).
• Developed an Uber-style ride-hailing app with live tracking, routing, and push notifications.
• Created a bike-sharing app with offline route saving and sync upon reconnect.
• Developed a speedometer Flutter package from scratch.

Impacts:

• Accelerated go-to-market for new mobility solutions by delivering reliable, production-ready apps on tight deadlines.
• Improved user satisfaction through robust offline capabilities and real-time features tailored to emerging markets.