Muhammed Abdullah Shaikh

Reduced Samsung eMMC (1.8V rail) sleep current from 52.1 mA to 0.11 mA via low-level driver optimization and power-state tuning; validated robustness with 15 TBW burn-in testing. Hardened ATCU4G FOTA pipeline with CRC-validated headers and fail-safe metadata, ensuring reliable OTA updates over TCP/IP and preventing bricked field units. Upgraded CAN-based ECU Service Tool (UDS bootloader) and recovery workflows, enabling restoration of 400+ field units, saving significant support costs. Designed and implemented a preemptive RTOS scheduler on Renesas RH850 with interrupt-driven context switching and task quantization for real-time determinism. Performed complete board bring-up for RH850 U2A8 MCU (peripherals, clock tree, NVIC/interrupt routing, HAL, and drivers). Automated end-of-line validation of device settings and configurations using Qt-based utility, achieving a ~30% reduction in processing time per device. Streamlined build & release workflows, reducing prep time from 30 to 5 minutes and improving QA throughput. Built reproducible QEMU/Docker environments for debugging and cross-team onboarding, ensuring deterministic firmware tests. Implemented DoIP on LwIP TCP/IP stack for Telematics Control Unit Ethernet variant, enabling secure remote diagnostics. Delivered embedded systems & debugging training to GETs and new hires, covering RTOS primitives, coding guidelines, and Python3.

Explored coreset selection strategies (greedy, k-center) for efficient data sampling in ML pipelines; evaluated performance on SVHN, CIFAR-10, and CIFAR-100 datasets, achieving reduced training overhead with minimal accuracy drop. Analyzed gradient approximation quality across varying sample sizes and training stages, providing insights for scaling deep learning models to large datasets.

National Solar Vehicle Challenge

The Central India's Largest Cultural Fest of VNIT, Nagpur.