About

Subrahmanyam Vaddi is a highly skilled software engineer with expertise in data science, machine learning, and software development. He holds a Master of Science in Computer Science from Iowa State University and has over six years of relevant experience in the field. Vaddi has worked as a full-stack software development engineer for four years at Samsung R&D Bangalore, India. He has a keen interest in algorithms, machine learning, and software development. Vaddi's skills include statistical data science, machine learning (deep learning, transfer learning), NLP, computer vision, perception, and autonomous driving. He is proficient in Python, Machine Learning, Statistics, Neural networks, SQL and has experience with Java, C, C++, C#, SQL, JavaScript, Node.js, WPF, WCF, .Net, Hadoop, MapReduce. Currently, Vaddi is working as a Software Engineer at Microsoft, where he is developing deep learning models for object detection using autonomous drones. He has strong experience in building predictive models using supervised and unsupervised machine learning algorithms. His experience includes data modeling and applying several ML/Statistical algorithms to real-world problems: Neural Network, Random Forest, Gradient Boosted Trees, Clustering, Linear and logistic regression, Bagging, Boosting, Naïve Bayes, and Dimensionality reduction (PCA). Vaddi has worked as a Graduate Research Assistant and Graduate Teaching Assistant at Iowa State University. As a Graduate Research Assistant, he developed an object detection model using deep learning algorithms for Unmanned Autonomous Vehicles (UAV), especially drones, which can be used in agriculture and mining applications. As a Graduate Teaching Assistant, he conducted lab activities and prepared assignments on topics like HTML, CSS, Javascript, Node.js, JavaFx, Excel, and Access. Vaddi's technical skills include Python, Tensorflow, Keras, Tableau, and he has relevant coursework in Data Analytics, Deep Learning, and Udacity Flying car course. He holds an Integrated Dual Degree in Electrical and Electronics Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. Overall, Vaddi is a highly skilled and motivated software engineer with expertise in data science, machine learning, and software development. He is actively seeking full-time/co-op opportunities in the field of data science, machine learning, and software development.