Tulasi Sainath Polisetty
Associate Field Software Engineer (Devices) @Canonical
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WORK HISTORY
Associate Field Software Engineer (Devices) @Canonical
Tempe, AZ, US
Developed and snapped ML/vision pipelines (e.g, object detection, pixel tracking) for real-time camera applications using OpenCV, GStreamer, and Ubuntu Frame on Jetson Nano, Qualcomm RB5, and NXP i.MX8 boards- Customized Ubuntu Core kernel and initramfs to include boot-time services, diagnostics scripts, and binary utilities (bash, curl) for enhanced system control and initialization flows- Evaluated and deployed AI models using NXP’s eIQ stack, TensorFlow Lite, and ONNX runtimes optimized for edge inference- Built reproducible, cross-platform demos using Docker Snap and Snapcraft content interfaces, ensuring modularity and maintainability across camera-based edge use cases- Created and maintained detailed internal documentation and developer guides covering kernel/initramfs workflows, snap packaging, system integration patterns, and architecture decisions.
EDUCATION
Bharatiya Vidya Bhavan's
High School Diploma, Mathematics, Physics, Chemistry and Computers
Osmania University
B.E , Electronics and Communications Engineering
Arizona State University
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering
ABOUT TULASI SAINATH POLISETTY
Embedded AI | TinyML | Robotics and Automation | AIOT | Edge-Computing
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