Luan Rios Campos

Defined software architecture design and implemented the core softwares of the company. Integrated the trading engine with multiple FIX counterparties, improved security and optimised the performance by adding support to RabbitMQ and caching. Maintained the integration with Liquid Blockstream. Reviewed codes and helped establish the CI/CD flow for dev and production deployments.

Currently responsible for designing and shipping high-end features and maintaining the infrastructure of the company using terragrunt, AWS and github actions. I lead a team of 4 developers across multiple environments (front-end, back-end and mobile applications).

Defined software architecture design and implemented the core of the company’s REST API that interfaces with partners. Integrated and architected the infrastructure to run multiple FIX clients, including multi streaming services using RabbitMQ and redis for fault tolerance and high throughput message broadcasting.

Worked in front-end development (mobile and web) with Angular, React, Ionic and Vuejs, back-end development with Laravel and Nodejs and in machine learning/deep learning projects. Lead, designed and architectured software projects and features, mentored developers, reviewed codes and conducted code releases and production deployments.

Worked as a data scientist and machine learning engineer to build a deep learning model capable of categorising footprints into pronated, supinated or neutral

Worked with Particle Swarm Optimisatio, Genetic Algorithms and Deep Learning in Geophysic's projects to solve the Seismic Full Waveform Inversion problem. Worked with recurrent neural networks (GRU and LSTM) to try to predict the outcome of juridical processes.

Worked with angular.js, Angular and Laravel to build the company's web app and API.

Worked fuzzy systems for mobile robots navigation on a simulated environment.

Studies in computer modelling with emphasis on deep learning applications to solve geophysical problems, specifically regarding seismic inversion and the generation of velocity models.

Master of Science in Computer Modelling and Industrial Processes, focusing on deep learning applications for geophysical problems such as seismic inversion and velocity model generation.

Programmer at the "Artificial Intelligence in Video games" project. Responsible for developing part of the AI present in the game.