
About Me
I am Ashish Sharma, an AI & Embedded Systems Engineer with experience in Machine Learning, Signal Processing, and IoT based intelligent systems. I have interned at DRDO ITR, where I built a fog aware, hardware accelerated SVM target detection system with 40ms latency and modular AI workflows optimized for edge devices. At NIT Rourkela, I developed hybrid ML forecasting models for smart grid applications, improving prediction accuracy and real time deployment on cloud platforms.
I have also built a deep learning–based underwater ship identification system using sonar acoustics, achieving 91% accuracy and 3% MAE in distance estimation. My skills include Python, PyTorch, Scikit learn, FastAPI, SQL, and embedded development with ESP32/Arduino.
I enjoy working on impactful AI systems, edge intelligence, and real time deployments. I aim to build innovative, scalable solutions that combine AI, hardware, and signal processing.
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