About

Rajesh Kumar Polani is a Lead Software Engineer with 9.86 years of relevant experience in the field. He is currently working with project44, where he has developed the Smart Dispatch Logic algorithm for Yard management system. Rajesh is proficient in a wide range of technologies and has worked on several projects involving Facial Recognition, Object Detection, kafka, MQTT & IoT, Flask Restful API, Hbase, MongoDb, and Elastic Search. Rajesh has extensive experience in Machine Learning algorithms like K-Means Clustering, DBSCAN, and KNN, and has also worked on Deep Learning algorithms like VGG, Resnet, Inception resnet, SSD, R-CNN, Faster RCNN, YOLO. He has good knowledge and experience in Tensorflow and has worked with Bitbucket, Git, and Sourcetree. Rajesh has also worked on Licence Plate Reading for vehicles using Google Vision API & object detection. Rajesh has excellent communication, problem-solving, and organization skills with a high level of attention to detail. He has experience in programming using MATLAB, Python, C, C++, and C#, and has a good understanding of Object-Oriented Programming and Design (OOP). He has also worked with Linux and Unix for 2 years. Rajesh has a degree in Electrical Engineering from the University of Texas at Dallas, where he specialized in Signal Processing and Communications. He has also worked with Mindlogic Systems Pvt Ltd and Netzoid Pvt Ltd in the past. Rajesh's technical skills include Software Engineering, Object Detection, ResNet, Elastic Search, Python, CNN, MongoDB, Deep Learning, ML, Kafka, Tensorflow, Flask, dotNET, Ethereum, Bitcoin, Solidity, Smart Contract, Web, AI, CI/CD, Docker, ASP.NET, MySQL, Jenkins, Mobile, and Apache Hive.