About

Praveen Yadav is a skilled Machine Learning Engineer with over 4 years of experience in the industry. He has a Master's degree in Media Informatics from RWTH Aachen University and a Bachelor's degree in Computer Science from IIT. Praveen's expertise lies in ML, Software Engineering, NLP, Deep Learning, Search, Integration, Web, Android, Data Science, Scikit, and Spring. Currently working as a Machine Learning Software Engineer at Stepstone, Praveen specializes in NLP solutions in the context of job search. He is also involved in MLOps related work and is responsible for the development, integration, and maintenance of NLP solutions. In the past, Praveen has worked as a Data Science and ML Engineer in Digital Health Startup Monikit where he implemented and enhanced Deep Learning models for Human Activity Recognition tasks. He also performed data visualization and analysis using sklearn and plotly libraries. Prior to that, he worked as a Werkstudent at IKA where he set up QNAP servers for storing vehicle's sensor data files and implemented open-source project Bag-Database as a web interface. Praveen's technical skills and relevant experience make him a valuable asset to any team. He has a strong understanding of ML and software engineering principles, which he has applied to develop and train deep learning models. Praveen is a quick learner and has a passion for exploring new technologies. He is a team player and is always willing to collaborate with his colleagues to achieve the best results.