About

Arun Balajiee Lekshmi Narayanan is a highly skilled EdTech and AI professional with a focus on Human-Computer Interaction. He is currently pursuing a PhD in Intelligent Systems Program, specializing in AI in Ed. Arun completed his MS in Computer Science with a focus on big data from the University of Pittsburgh. During his time at the University of Pittsburgh, Arun gained expertise in Natural Language Processing using RasaNlu engine and Spacy to build a robust chatbot platform in Python. He also developed a Domain Independent Text Classification tool for Natural Language Processing as part of his research project. Arun has experience in data mining using Graph Search and has built a Map Reduce System from scratch using socket programming and implemented Map Reduce similar to HadoopMR. He is highly proficient in C++, GDB, Python, Javascript, and related frameworks such as AngularJS. Prior to joining the MS program at the University of Pittsburgh, Arun worked as a Software Developer at Bank of America for three years. During his time there, he worked on migrating a legacy software system in C# on Microsoft Office used by Research Analysts at Bank of America Merrill Lynch onto a web app built in Angular. He also gained great exposure to usage and implementations in Python and has a good understanding of libraries such as Numpy, Pandas, Sci-kit, Spacy, Flask, and Django. Arun is an avid Quizzer and volunteered for the first TEDx event organized by his team at IITH in 2015. Currently, he is working as an Objective-C Developer at Learning Research & Development Center, where he is working on Database Internals built in C++. He is making a few enhancements on Apache Parquet Format export queries and adding column indices to parquet files for the Apache Arrow project in C++. Arun has also worked as a grader for CS 0449 Systems Software under Dr. Sherif Khattab and CS 1501 Algorithms Implementation under Dr. William Garrisson at the University of Pittsburgh School of Computing and Information. Arun holds a Bachelor's degree in Computer Science & Engineering from IIT Hyderabad and a Master's degree in Computer Science from the University of Pittsburgh. He has a strong technical skill set, including Objective-C, AI, Python, Text Classification, NLP, Data Science, Research Science, Search, Reinforcement Learning, Neo4j, Big Data, Javascript, Pandas, Flask, Postgres, Backend, Web,