Tomás Mallouhi is a software engineer with eight years of experience building backend architectures, microservices, and ML-enabled systems across academia and industry in Chile. He specializes in Python (Flask, FastAPI), TypeScript (NestJS, Next.js), ZeroMQ-based service integration, Docker/GCP deployments, and PyTorch/Lightning model deployment. His work blends research-grade machine learning (real-time seismic monitoring and LSTM speech models) with practical product engineering—recent roles include designing scalable microservices for Chile’s national seismic network and building web builders and dashboards. Tomás also teaches data structures and algorithms, reflecting a commitment to mentoring and clear technical communication. Comfortable across C/C++, ROS, and mobile React Native, he brings multidisciplinary experience from drone telemetry to industrial mining controls. Colleagues describe him as a pragmatic problem-solver who moves experimental ML into reliable production services.
8 years of coding experience
6 years of employment as a software developer
Ingeniería Civil Electrónica, Ingeniería Civil Electrónica at Universidad de la Frontera
Desarrollo de aplicaciones web, Desarrollo de aplicaciones web at Zero To Mastery Academy
Repositorio para el Drone en desarrollo en la Universidad de la Frontera utilizando plataformas de código libre como Ardupilot, Mavlink y dronekit. Utilizando una raspberry pi 3 y la placa de control Navio2
Contributions:40 commits, 2 PRs, 36 pushes in 7 months
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