About

Dhruvil Badani is a highly skilled Software Engineer with over 6 years of experience in the field. Currently working at Pinterest, he is responsible for the development of multi-task deep learning and calibration models to predict user-pin engagement and rank the most relevant pins to order them on users' homefeed. He also designs and runs model architecture and feature engineering A/B experiments, writes end-to-end machine learning pipelines for model training, productionization, and A/B experimentation, and engineers big data processing workflows for training data generation. Prior to his current role, Dhruvil served as a Teaching Assistant at the University of California, Berkeley, where he led and taught undergraduate students in weekly sections and office hours, developed and taught section worksheets and homework, and created and administered midterm exams, final exams, and weekly quizzes. He also worked as a Software Engineering Intern at Pinterest, where he was responsible for engineering machine learning pipelines to recommend content to users on their Pinterest homefeed, developed word2vec-based ML models in TensorFlow (Python) to add diversity in recommendations, and built infrastructure to serve ML models in real-time via Java backend services. Dhruvil holds a Bachelor of Arts (B.A.) in Computer Science from the University of California, Berkeley. He is proficient in various technologies, including TensorFlow, Scikit, Java, Hadoop, Apache Hive, Recommendation system, Word2Vec, MapReduce, test, Backend, infra, Python, and Scala. Dhruvil's expertise in Software Engineering, ML, Big Data, and Deep Learning makes him an invaluable asset to any organization seeking to drive innovation and growth.