Surya Praneeta
@suryapraneeta
Senior software professional specializing in AI/ML, embedded systems, and firmware development.
What 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
Converted Python code to C++, enhancing execution speed and reliability on Linux.
Integrated a custom C++ library into the MATLAB to support extensive testing of ADAS algorithm. Applied GPU-based parallel computing to improve simulation runtime and algorithm calculation performance. Implemented Unified Diagnostics Service routines to display monitored module parameters using SomeIP & I2C protocol.
Reconstructed CNN-based network architecture for real-time classification of sound signals, enabling detection of emergency vehicle sirens and car horns.
Deployed CNN models onto Aurix microcontroller through weight extraction and reconstruction for embedded inference. Developed & tested Adaptive AUTOSAR software components, using ROS as middleware to achieve cross-platform support and modularity.
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.
Amrita sai institute of science and technology
Bachelor of Technology, Electrical and Electronics Engineering
2009 - 2013
Grade: 80
Activities and societies: B.Tech in EEE
Completed B.Tech in Electrical and Electronics Engineering with focus on embedded systems and firmware development.
Narayana junior college
Intermediate, MPC
2007 - 2009
Grade: 86.9
Activities and societies: Intermediate in MPC
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
Authorized to work in
Salary expectations
Social media
Job categories
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