About

Akash Sunil Gaikwad is an experienced Embedded Software Engineer with a strong background in algorithm development, microcontroller firmware development, sensor integration, and wireless communication protocols. He has a Master's degree in Electrical and Computer Engineering (Embedded Systems) from Purdue University and a Bachelor of Technology in Electronics and Communications Engineering from the National Institute of Technology Agartala. Akash has over five years of relevant experience, which includes a one-year internship at Omnisite and Endress Houser in Embedded software and Algorithm development. He has key competence areas in FIRMWARE, C/C++, Embedded C, Sensor Development, Algorithm Design & Analysis, and Embedded system development. He is also familiar with RTOS Concepts, GNU Toolchains, Open Source Development, Python, Controller Area Network, Strong Debugging skills, 6 LoWPAN, CAFFE/Tensorflow/PyTorch, CNN for Embedded Platform, and Deep Learning (CNN, Object Detection, Classifier). Currently, Akash is working as an Embedded Software Engineer at Hughes Networks, where he is responsible for developing control software for Q to L band RF Down convertor. He has also worked on PTP -Precision time protocol for time synchronization between various inroute and outroute subsystems, and developed, integrated & validated software for inroute demodulator subsystems. In the past, Akash has worked as a Research Assistant at Purdue University, where he optimized various computer vision algorithms using specialized hardware APEX and ISP (S32V234 EVB Development board By NXP). He also worked on Blue-Box (Development platform for Autonomous Driving) and RTmaps (Real-time Multi-sensor applications). Additionally, he has worked as a Research Intern at Endress+Hauser Group, where he worked on a 6LoWPAN mesh network using TI CC2650 Launchpad modules from Texas Instrument. Akash's educational background and technical skills make him a valuable asset to any team. He is proficient in Software Engineering, CNN, Pytorch, Object detection, Object Detection, Deep Learning, Research Scientist, Integration, test, Tensorflow, Python, and C.