Ram Gannavarapu is a Staff Software Engineer with eight years of experience building embedded and cloud-connected systems, currently advancing vehicle software and test infrastructure at Tesla in San Jose. He combines an electronics background and a master’s in Computer Engineering with hands-on expertise in Python, Docker, Kubernetes, RabbitMQ, MATLAB/Simulink, and automotive networks (CAN/J1939). At Tesla he progressed from intern to staff engineer, driving test-framework redesigns that halved cycle times and doubled yield, and building dashboards and telemetry integrations using Prometheus and Grafana. He has deep domain experience in model-based development and safety-focused tooling (ISO-26262/MISRA) from earlier work at KPIT and Cummins, plus research experience on automotive testbeds. Outside engineering he pursues photography and videography, bringing a visual design sensibility to GUIs and debugging tools.
8 years of coding experience
6 years of employment as a software developer
Intermediate Maths physics chemistry, Intermediate Maths physics chemistry at Sri Mega Study Circle
Master's degree Computer Engineering, Master's degree Computer Engineering at Colorado State University
High school High School/Secondary Certificate Programs, High school High School/Secondary Certificate Programs at D.A.V public school
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Shiv Nadar University
The code base for the Teensy 3.6 based Smart Sensor Simulator 2.
Contributions:2 PRs, 71 pushes in 1 day
teensysimulationsimulatorsensorbase-code
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Ram Gannavarapu - Staff Software Engineer at Tesla