🔊 Deep Noise Suppression for low power Embedded systems :Contributed the development of an AI-based Noise Suppression (NS) solution using TensorFlow, focusing on end-to-end data strategies, model design, and deployment on a HIFI DSP chip within a System-on-Chip (SoC) running a Real-Time Operating System (RTOS). Designed and trained robust AI models for noise suppression through advanced audio data augmentation techniques, synthesizing diverse datasets to simulate real-world noise conditions. Optimized the models for performance and efficiency, converting them into highly efficient C code and leveraging Cadence libraries for seamless integration. Successfully ported the optimized models to the DSP chip of the SoC, ensuring real-time noise suppression with minimal power consumption on the RTOS platform.🔒 Cyber Security using AI:Spearheaded projects in Speaker Identification and Deep Fake Detection, enhancing law enforcement capabilities in identifying criminals and combating cyber fraud.Developed an ECAPA TDNN model trained on an Indian-specific dataset, achieving remarkable testing EERs of 1.5%.Contributed to the detection of deepfakes across various media formats, ensuring the integrity of digital content.💡 Cost-Effective Data Collection and Mining Tools:Engineered web applications and automation tools for efficient data collection and mining, accelerating processes by up to 8x.Empowered data mining teams with precise data mining capabilities.

1️⃣ UGV Design for Multi-Terrain Purpose:Played a pivotal role in designing an Unmanned Ground Vehicle (UGV) optimized for versatile performance across diverse terrains.Leveraged expertise in robotics engineering to develop a robust UGV platform capable of navigating challenging environments with ease.2️⃣ Empowering AI in Computer Vision:Integrated artificial intelligence algorithms into the UGV's computer vision system, enhancing its ability to perceive and interpret surroundings autonomously.Contributed to the development of advanced perception capabilities, enabling the UGV to make informed decisions in real-time based on environmental inputs.3️⃣ Learning UAV Technologies:Actively engaged in learning Unmanned Aerial Vehicle (UAV) technologies, gaining insights into aerial robotics and autonomous flight systems.Acquired knowledge and hands-on experience in UAV operations, further expanding expertise in unmanned systems technology.