Summary
Daamanmeet Paul is a Software Integration and Release Lead with 9 years of experience blending deep learning, firmware development, and embedded systems for automotive applications. At Aptiv he has progressed from software engineer to lead, coordinating releases and integration across real-time platforms and hardware such as Nvidia TK1/TX1, LPC1758, and TI microcontrollers. He pairs strong C/C++ and Python skills with practical ML knowledge (CNNs, RNNs, LSTM) and hands-on sensor and motor systems work for autonomous-vehicle features. Comfortable across FreeRTOS, Linux, device drivers and communication protocols (CAN, UART, SPI, I2C), he focuses on turning research-grade models and firmware into production-grade, safety-conscious deliverables. His background—BTech in ECE and a MS in Computer Engineering from San Jose State—gives him a cross-disciplinary perspective that helps bridge algorithms, hardware constraints, and release engineering.
9 years of coding experience
3 years of employment as a software developer
San José State University
IK Gujral Punjab Technical University
English, Hindi, Punjabi