Manuel Álvarez is a San Francisco–based Co-Founder and seasoned AI/ML engineer with nine years of hands-on experience building production systems and founding early-stage startups. He’s shipped backend-first AI products—from retrieval-augmented generation and prompt red-teaming at a bank’s generative AI lab to end-to-end question-answering pipelines and model quantization for conversational assistants. Manuel’s work spans safety-minded model evaluation, large-scale retrieval and re-ranking, and low-latency deployment using modern stacks like FastAPI, PyTorch/ONNX, Docker, and Kafka. He also brings domain depth from aerospace and healthcare: analytic algorithms for aircraft conflict detection on the WGS84 ellipsoid and video-to-regression models for cardiac ejection fraction. A pragmatic engineer who “likes to code (a lot),” he pairs rigorous academic training in aerospace and data science with product-focused execution and a knack for turning research prototypes into production services.
9 years of coding experience
4 years of employment as a software developer
The Exponential Fellowship
Master of Science - MS Data Science (Tratamiento estadístico computacional de la información), Master of Science - MS Data Science (Tratamiento estadístico computacional de la información) at Universidad Complutense de Madrid
Bachelor's degree in Aerospace Engineering Aerospace Aeronautical and Astronautical Engineering, Bachelor's degree in Aerospace Engineering Aerospace Aeronautical and Astronautical Engineering at Universidad Politécnica de Madrid
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