Haard Rao
Field Engineering Analyst Embedded Vehicle Systems @Ford Motor Company
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WORK HISTORY
Field Engineering Analyst Embedded Vehicle Systems @Ford Motor Company
MI, US
Investigated and resolved 100+ embedded system escalations across Ford and Lincoln vehicles, reducing engineering touchpoints by 30% through independent root-cause analysis and resolution.• Identified recurring embedded system failure patterns using OEM diagnostic tools, reducing case cycle time by 25% and lowering engineering escalations through independent root-cause analysis.• Collaborated with technical support and module teams (APIM, IPMA, TCM, CNVS) to validate system behavior and improve repair accuracy by 35% across infotainment, powertrain, and telematics domains.• Interpreted vehicle schematics and network topologies to isolate recurring software/hardware misconfigurations, contributing to early detection of system-wide issues.• Performed remote validation of configuration states and tool environments, enabling scalable diagnostic support and reducing redundant escalations by 20%.• Compiled and submitted issue pattern reports to engineering using Jira and MIRO, facilitating early-stage root cause discovery and accelerating resolution timelines by 15%.
EDUCATION
University of Michigan-Dearborn
Master of Science and Engineering - MSE, Computer Engineering
Gujarat Technological University (GTU)
Bachelor's degree, Computer Engineering
ABOUT HAARD RAO
I build software systems where reliability, scale, and real-world impact matter — from embedded vehicle platforms to cloud-based data pipelines.Currently, I work on embedded vehicle systems and diagnostics supporting large-scale automotive deployments, where I analyze field failures, identify system-level patterns, and reduce resolution time through root-cause engineering and automation.Previously, I’ve:Reduced vehicle cybersecurity attack surfaces by 40%Built real-time systems with sub-150ms latencyDesigned full-stack and cloud solutions used in production environmentsMy core strength is connecting the dots across systems; hardware, software, data, and users and translating complexity into stable, scalable solutions.
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