As a Full-Stack CTO, I lead the architecture and delivery of AI-driven technology products, combining deep hands-on technical work with strategic engineering leadership. My focus includes AI Ops, multimodal intelligent agents, vector databases, practical application of abstract mathematics, application of optimized graph-based algorithms, and proprietary machine-learning classification algorithms built with PyTorch, TensorFlow, and Polars. I oversee R&D initiatives, guide engineering culture, and design scalable data ecosystems—integrating diverse databases (PostgreSQL, Qdrant, Cassandra, MongoDB, ElasticSearch), building data lakes, and modernizing legacy platforms and APIs (based on Laravel, AngularJS) to more reliable, maintainable, time-to-market oriented, and performing applications with VueJS, .Net, Ruby on Rails, and FastAPI. I also direct development of modular conversational agents using event-driven patterns, NLP, intent detection, heuristic analysis, and distributed architectures. My responsibilities extend to fintech operations (reconciliation systems and fiduciary processes), technical team management, and ensuring high-quality software delivery through TDD practices, continuous improvement (Kaizen), and adoption of unified UI/UX design systems and universal design principles. Key Achievements: Reduced IT infrastructure costs by 40% through architectural optimization; Reduced GPT-based agent hallucinations by 70% via improved model pipelines and evaluation; Accelerated software development cycles and strengthened engineering velocity; Drove adoption of TDD, Kaizen culture, and consistent design system practices across teams; Data Ops culture evangelization. Tech Stack and Methods: VPS, Datadog, Fast API and Django (DRF), ETL, Airflow (data gathering schedules and pipelines), Web Scraping, Ruby on Rails (legacy back office applications), NodeJS (small, high-performance, domain-oriented applications), online financing operations, PostgreSQL, MongoDB, VueJS + Vuetify, RESTful, Reverse Engineering (updating no-show calculations for efficient overbooking strategies), Scrum, TDD.

A firm from the Axis holding, uses electricity credits generated from sustainable generation facilities (mostly Solar). My work involves modernizing and implementing new business rules for integration with Energy Companies for electricity credits processing. My work involved designing the Systems Architectures for additional applications and providing software engineering on technologies not familiar to the Development Team, or optimizing data flows and software codes. Tech Stack and Methods: SOA, REST API, MVP, Observability, Backend, Frontend, Event Driven, Integration with 3rd party services, BFF, Web Services, data gathering about consume and generated energy in various facilities for estimating environmental impacts and carbon footprints. With Agile. Laravel PHP, Django, MySQL, Excel Sheets in S3, React, Sentry, AWS SQS, AWS SNS.

An IoT startup that uses proprietary technology to improve cost-effectiveness and automation, using IoT and AI for controlling large buildings and facilities (Ports, Colleges, Shopping Centers, Schools and Plants). Achievements: Reduced signal losses from MQTT Broker; Improved grouped sensors state comprehension; Reduced cloud infrastructure costs by 20% (on average). My work involves designing Software Architecture and Data Gathering (ETL, Data-discovery, pattern recognition) and occasional troubleshooting on complex software/hardware integration challenges. Tech Stack and Methods: SOA, REST API, Observability, Backend, Event Driven, Integration with 3rd party services, data gathering from the numerous devices connected to MiyO's products and services. Django, PostgreSQL, PyTorch, Pandas, TensorFlow, MongoDB, Keras, NodeRed, AWS IoT Core, Elastic Search, AWS SQS.

Ruby on Rails training and database optimization, also Data ETL and AI services integrations. Tech Stack and Methods: SOA, REST API, Observability, Backend, Event Driven, Integration with 3rd party services, data gathering from the numerous data sources, products and services. Ruby on Rails, Ruby with SINATRA, PostgreSQL, Mongo DB PyTorch, Pandas, TensorFlow, MongoDB, Elastic Search, AWS SQS.

Most of my work involved unifying many services in many languages to a unified tech stack to reduce development and maintenance complexity while adding more services and features to the many users in diverse systems. My work involved designing the Systems Architectures and providing software engineering on technologies not familiar to the Development Team, or optimizing data flows and software codes. Web development and Engineering: SOA, REST API, MVP, Observability, Backend, Frontend, Event Driven, Integration with 3rd party services, BFF, Web Services, AI practical Applications. Projects included: EMBRAPII (Brazilian Agency for Fostering Industrial Innovation and Research) where I unified multiple applications and tech stacks with focus on maintainability and faster delivery of new features. This involved distributed applications with Kubernetes behind Kong API Gateway and event-driven data flows with Apache Kafka. Movida Rebranding, where I re-engineered sites and online services focusing on pleasant and performing experiences, reliable concurrency control for car inventory across business models, data flows, and ETL using BigQuery. Distributed applications focused on parallelism and concurrency with NodeJS, Angular, MongoDB, Atlas Search, and event-driven architecture using Apache Kafka (moved to GCP Pub/Sub). Gauge Intelligent Data Sources (in-house AI-focused project) involved AI automated processes for data description, data interpretation, code artifact generation, validation of data samples and insights (coherence, anomalies, reliability, ETL), and AI code generation for ETL endpoints and data streams. Apache Spark was used for indexing and accelerating queries, and data flows were managed with Apache Airflow and Apache Kafka. Tech Stack and Methods: BFF, Keycloak, Kanban, Kubernetes, Laravel Lumen, MongoDB, PostgreSQL, REST, Reverse Engineering, VueJS, TDD, Azure Cloud, Angular (with SSR), Atlas Search (MongoDB), GCP (CP Engines, Pub/Sub), Micro Frontends, NodeJS, Scrum, Pentaho, BigQuery, AI Agents, Apache Spark, Athena, AWS EC2, AWS K8S, AWS Lambdas, Django (DRF), ETL, Jenkins, Llama, OAUTH2, MySQL, Oracle, Power BI, ReactJS, Ruby on Rails.

Small consultancy contracts (workshops, research and training). Mostly on application of AI and AI Agents for solving data retrieving (documents, contracts, etc). Also, web development: MVP, REST API, SPA, Backend development, Databases. Tech Stack and Methods: Django (DRF), MongoDB, OAUTH2, MySQL, PostgreSQL, ReactJS, REST, Ruby on Rails, Scrum, TDD, VueJS, Llama.

Development of BI platform for the health market (match sellers and possible clients for goods and services, B2B). Web Development: REST API, MVP, SOA, DDD, Integration with 3rd party services, Web Services. ETL with Python Ingestors, and web scrapers. Tech Stack and Methods: AWS EC2, AWS K8S, AWS Lambdas, Datadog, Django (DRF), ETL, Web Scraping, Flask, JQuery (legacy systems), OAUTH2, PostgreSQL, ReactJS, REST, Reverse Engineering, Scrum, TDD.

Reverse engineering on an outdated monolithic application, for rebuilding in more scalable and updated distributed applications. Fleet management and heuristics to prevent failures and interruptions on services. Web development: REST API, SOA, Integration with 3rd party services. Database optimization (triggers and stored procedures), and query optimization. Tech Stack and Methods: Agile (customized Scrum), AngularJS (v 1.x), AUTH0, BackboneJS, ETL, JQuery (legacy systems), MySQL, OAUTH2, PostgreSQL, ReactJS, REST, Ruby on Rails (v 2 and v 6), TDD, VueJS. Azure Cloud.

Amidst the COVID-19 pandemic, Burger King needed to shift its focus and efforts from restaurants to delivery service. I led the team providing business information (stats, campaign results, surveys) and tooling (promotions, coupons, tracking, fidelity advantages, etc) for the newly formed online sales division. As it needed fresh and timely information, I advocated and negotiated access to other divisions' data (and their databases). Web development: REST API, SOA, Distributed Applications, Integration with 3rd party services, Web Services. Database optimization (triggers and stored procedures), and query optimization. Unifying data with Apache Spark, and Elasticsearch. Tech Stack and Methods: Athena, AWS EC2, AWS K8S, AWS Lambdas, Datadog, DynamoDB, Elastic Search, ETL, Grafana, Javascript (Micro Services), Kibana, MongoDB, MSSQL Server, MySQL, NodeJS, OAUTH2, Oracle, PostgreSQL, Power BI, Pytorch, ReactJS (with D3.js), REST, Ruby, TDD, VueJS.

Being both Fintech and Traveltech, Eleva provides an 'advantages club, and travel club' for those who pay their bills through its platform. Oversight on project management and code review on software projects. Development of the base of initial code for software projects. Web development: REST API, SOA, Integration with 3rd party services, Web Services. Database optimization (triggers and stored procedures), and query optimization. AI and DS projects: Data lake, Profiling, Similarity. Online Payments and fiduciary digital operations (lending, provisioning), PCI/DSS. Database Optimization. Data flows with AWS Glue. Event oriented architecture. Data warehousing, using Python ETL Ingestors. Tech Stack and Methods: AWS Cognito, AWS EC2, AWS Glue, AWS K8S, AWS Lambdas, Elastic Search, ETL, MongoDB, PostgreSQL, Power BI, Pytorch, ReactJS (with D3.js), REST, TDD, React JS, React Native, Ruby on Rails, Ruby.