SPSurya Praneeta
@suryapraneeta
Senior software professional specializing in AI/ML, embedded systems, and firmware development.
IndiaWhat I'm looking for
I am a software professional with over eight years of experience in AI/ML, automotive embedded systems, and firmware development. I bring strong language skills in C, C++, and Python with focused experience in embedded programming across multiple microcontrollers and RTOS/platforms.
I have contributed to projects for major automotive clients including Jaguar Land Rover and Ford, implementing UDS routines, converting Python to C++ for improved performance, and integrating C++ libraries into MATLAB for ADAS algorithm testing. I have worked on Adaptive AUTOSAR components and deployed CNN models onto Aurix microcontrollers.
My work includes developing real-time CNNs for eye-gaze detection using OpenCV and CUDA, reconstructing network architectures for real-time sound classification (emergency sirens and car horns), and engineering virtual road scenario simulations integrating LiDAR, radar, and visual sensors for ADAS validation.
I have led firmware and embedded projects, designed PCBs and trainer kits using Raspberry Pi and ESP32, conducted workshops on embedded systems and IoT, and mentored interns. I continually seek to optimize performance and deliver reliable, production-ready embedded AI solutions.
Experience
Work history, roles, and key accomplishments
Contributed to ADAS and automotive client projects including Jaguar Land Rover and Ford, implemented UDS routines, converted Python to C++ to improve execution speed, and deployed CNN models onto Aurix microcontrollers for edge inference.
TMWorked on ProAI and SoundAI across Windows and Linux, developed Adaptive AUTOSAR components, and reconstructed network architectures for real-time sound classification detecting emergency vehicle sirens and horns.
Software Engineer
Navajna Technologies Pvt Ltd
May 2018 - Jun 2019 (1 year 1 month)
Engineered multi-layer CNN for real-time eye-gaze detection using OpenCV and CUDA, executed virtual road scenario simulations and integrated LiDAR, radar, and visual sensors into ADAS simulation workflows.
Embedded Systems Engineer
TIFLabs Pvt Ltd
Jul 2017 - Apr 2018 (9 months)
Developed fingerprint-based attendance systems with HTTP API database integration, designed PCBs using Raspberry Pi and ESP32, led embedded workshops and mentored interns.
Project Intern
Non-Ferrous Materials Technology Development Center
Jun 2016 - Jun 2017 (1 year)
Designed an automatic gearbox with PIC18F4421-based clutch control and built a LabVIEW GUI for ECU monitoring over CAN to support automated transmission research.
Education
Degrees, certifications, and relevant coursework
SRM University
Master of Technology, Robotics
2015 - 2017
Completed M.Tech in Robotics with coursework and projects related to robotics and embedded systems.
Narayana Junior College
Bachelor of Technology, Electrical and Electronics Engineering
2009 - 2013
Completed B.Tech in Electrical and Electronics Engineering with focus on embedded systems and firmware development.
Seventh Day Adventist High School
High School (Class 10), General Secondary Education
2006 - 2007
Completed high school (Class 10) education prior to junior college.
Availability
Location
IndiaAuthorized to work in
Job categories
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