About

Arun Ghontale is a highly skilled software developer with over 8 years of experience in the industry. Currently working at Zignite labs as a Software Developer 2 - Machine Learning, he is responsible for using the Rasa framework to achieve entity extraction and intent recognition, as well as rule-based dialogue management to create a fully automated conversation system for customers to order food via various messenger apps. Arun has also worked on the Hellowoofy platform's word/sentence autocomplete API, using language models to build the core autocomplete engine and a trie-like data structure to create a suggestion response. He is currently working on improving the quality of autocomplete suggestions. Prior to his current role, Arun worked as a Course Developer at Stanford University, helping the Stanford Center for Professional Development take some of the best grad courses to working professionals. He helped develop XCS224N (NLP with deep learning) and XCS224U (Natural language understanding), both of which are online versions of the course CS224N and CS224U offered for professionals. He is currently working on XCS229i and XCS229ii (Machine learning), both of which are online versions of the course CS229 offered for professionals. Arun has also worked as a Machine Learning Engineer and Course Developer at Applied AI Course, where he was responsible for content development of online Machine learning and deep learning courses, project creation, and updating course materials. He built student performance evaluation and assignment evaluation dashboards using Node.js and Material.css to analyze student performance, and used Selenium and Beautiful Soup to streamline the grading process for Course Facilitators. Arun holds a Bachelor's degree in Electronics and Communication Engineering from VIT, as well as a Pre-University College degree in Physics, Chemistry, Math, and Electronics from M.E.S College of Arts, Science & Commerce, Malleshwaram, Bangalore-3. His technical skills include Software Engineering, ML, Web, Deep Learning, NLP, AI, language models, Backend, Selenium, NodeJS, and Javascript. Arun is a highly motivated, detail-oriented individual with a passion for technology and a proven track record of success in the field.