Summary
David Guzman is a Senior AI Software Engineer with 10 years of experience building production-grade AI and full-stack platforms across Online Advertising, Television, and cyberintelligence. He has led end-to-end initiatives at Microsoft and Yahoo, delivering high-precision ML models (95%+ for anomaly detection and 96% for a privacy Copilot) and scaling generative AI consumption to millions of monthly calls while cutting cloud costs by 80%. Comfortable from research to deployment, he combines expertise in Azure OpenAI, Azure ML, Spark, and distributed systems with hands-on work in Python, Java, and large-scale data pipelines. His background in interactive intelligence (Georgia Tech) and early R&D in TV decoder telemetry gives him a rare mix of academic rigor and product-facing engineering. Colleagues rely on him to turn complex ML requirements into automated, secure production workflows that meet strict compliance and operational SLAs.
10 years of coding experience
16 years of employment as a software developer
Electronics Engineering, Analog and Digital circuit design, Telecommunications, Software Development, Electronics Engineering, Analog and Digital circuit design, Telecommunications, Software Development at Universidad Nacional de Colombia
Masters in Computer Science, Computer Science - Interactive Intelligence, Masters in Computer Science, Computer Science - Interactive Intelligence at Georgia Institute of Technology
English, French, Spanish