At Naveera Tech., I’m developing an AI-enabled dashcam and collision-detection system in C/C++ on the Rockchip RK3576. I’m implementing a dual-camera pipeline with V4L2 capture, DMA-BUF sharing, H.264 encoding, and 60 FPS recording.
At Aarish Technologies Inc., I built a C++ application for CNN-based battlefield surveillance radar sound classification and implemented automatic gain control algorithms. I also engineered a PlutoPlus SDR system for real-time H.264 video and drone telemetry transmission.
I developed a smart vision system on Raspberry Pi and ESP32-C3, and a C++ framework for running CNN models on the Renesas RZ/V2L DRP-AI accelerator. I also built a Yocto-based Embedded Linux platform and led RZ/V2L SBC design and production, reducing BOM cost by 40%.
Earlier, as an intern at FOSSEE, IIT BOMBAY, I enhanced eSim for Ubuntu 22.04, including its KiCad upgrade. At VLSI SYSTEM DESIGN, IIT BOMBAY, I designed CMOS circuits and implemented a 1-bit ADC in the 130 nm node; in a personal ESP32 project, I built a dual-core real-time signal-processing system with FFT and Wi-Fi streaming.
United States