About

Monica Golahalli Seenappa is a highly skilled Production Engineer at Meta, with a focus on full-stack development, software engineering, software development, artificial intelligence, and machine learning. She is a Computer Science graduate student at San Jose State University, with a Master's degree focused on Data Science. Monica has extensive experience as a C++ and Python developer, having worked on projects related to machine learning, natural language processing, and computer vision. She has also worked as a C++ Human Machine Interface (HMI) developer for a year at Robert Bosch Engineering and Business Solutions. This summer, she worked as a Software Developer Intern for Chirp Microsystems in Berkeley, where she developed a Django web application to store ultrasonic data into a MongoDB database. Monica's technical skills include C, C++, Python, Java, HTML5, CSS, JavaScript, JQuery, MySQL, MongoDB, Django, Bootstrap, Tornado, and more. Her expertise in machine learning includes linear regression, logistic regression, decision trees, random forest, hidden Markov models, principal component analysis, support vector machine, naive Bayes classifier, K-nearest neighbors, K-means, and profile hidden Markov models. Monica is an active contributor on GitHub, and her profile can be found at https://github.com/MonicaGS. She is a highly motivated individual who is passionate about software engineering and data science. Her relevant experience in the field is 3.69 years.