Mitchelle Rasquinha is a Machine Learning Engineer with 14 years of experience focused on deep learning and ML performance, currently working at Meta after multi-year roles at Google and MLCommons. Her background blends systems and performance engineering—from on-chip interconnect and cache modeling at Oracle and Georgia Tech to large-scale systems work at MapR and Google—giving her a rare cross-domain view of hardware-software performance tradeoffs. She has a strong simulation and modeling pedigree (SST, Manifold, IRIS) and practical experience optimizing real-world ML workloads and infrastructure. Based in Mountain View, she brings both research rigor from an MS in ECE and production-grade engineering instincts, often translating low-level performance insights into measurable system improvements. An understated strength is her experience representing industry interests at MLCommons, bridging standards and implementation in the ML performance community.
14 years of coding experience
18 years of employment as a software developer
B.S, Electronics & Telecommunications PESIT, B.S, Electronics & Telecommunications PESIT at Visvesvaraya Technological University
MS, Electrical and Computer Engineering, MS, Electrical and Computer Engineering at Georgia Institute of Technology
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Mitchelle Rasquinha - Machine Learning Engineer at Meta