Driving the creation of cutting-edge Edge AI products from concept to deployment. This role demands expertise in AI design and development, a solid grasp of embedded hardware, and a deep understanding of end-to-end product development

Machine learning engineer in embedded department. Developing ML/DL algorithms and application development .Edge device deployment of ML/DL application ,Computer Vision application and algorithm development using python . working on Jetson Nano,Rpi, TPU edge devices.

1. Simulation of Turbo decoder: during this project studied about basic blocks of communication systemmodel. Turbo codes are a combination of recursive systematic encoders, an Interleaver, puncturing andthe iterative decoder components. A common turbo encoder has two half rate recursive Convolutionalencoders. Same concepts used to model Turbo decoder and simulated using MATLAB.2. Implementation of Intra-prediction using deep learning: This project comes with 2 parts one is todesign prediction with RTL design and other with deep learning. At present working on RTL design fromVerilog code to construct intra prediction block.Experience: 2 projects, SEP 2020 to till today

1. SSDVRS: This project is for IAF as video multiplexing unit which has to be installed in MIG-21 BISON . 2. ITS-M6: This is one of telemetry projects developed by PCC for BDL AMOGH III MISSLE. In this project I assigned for testing of RF Transmitter. The functionality of this unit can be two types one is encoding all data which are coming from missile sensor and encrypt it as PCM data frame. Total Experience: 11/2/2019 to 31/1/2020