Deepak Mettem is a Principal Engineer with 11+ years of experience building large-scale ML, streaming, and distributed systems for enterprise security and cloud management. He has led global teams at VMware to design real-time ML streaming platforms (RAPID) processing 30K+ alerts/sec across 8M+ endpoints and cut deployment costs by half, and he now drives ML and platform strategy at Microsoft. Deepak combines hands-on engineering in Java, Python, Go, Flink, Spark, Airflow and AWS with a product-minded focus—his integrations and APIs consistently improved adoption and reduced onboarding or shelfware by ~20%. He has a proven track record of translating complex analytics and security problems into operational, cost-efficient services that materially boost SOC productivity and ARR. Based in Palo Alto and trained in AI/ML at UT Austin, he’s equally comfortable mentoring teams, partnering with sales/product, and shipping production MLOps at scale.
11 years of coding experience
19 years of employment as a software developer
Post Graduate Program in AI & ML: Business Applications Artificial Intelligence & Machine Learning, Post Graduate Program in AI & ML: Business Applications Artificial Intelligence & Machine Learning at The University of Texas at Austin
Jawaharlal Nehru Technological University Hyderabad
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