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Resume (English only)
Academic Achievements
In Data Science, learned Neo4j graph-based database mining techniques using Python; in Artificial Intelligence, developed a reinforcement learning frog agent to play the classic frogger game in Python; in Natural Language Processing, supported domain-agnostic sentiment classification.
Research Experience
During his Master's at the University of Pittsburgh, worked on building a robust chatbot platform using RasaNlu and Spacy; developed a domain-independent text classification tool for NLP; conducted data mining using graph search; built a Map Reduce system from scratch for inverted indices; completed an MS thesis on Big Data and Parquet files.
Education
Bachelor's in Computer Science and Engineering from IIT Hyderabad; Master's in Computer Science from the University of Pittsburgh.
Background
Currently a PhD student in the Intelligent Systems Program at the University of Pittsburgh, with research interests in Natural Language Processing and Applied Artificial Intelligence in Education. Enjoys writing code that is easy to understand, modular, and debuggable. In spare time, likes developing efficient and robust algorithms.
Miscellany
Hobbies include cycling, adventure travel, and astronomy; avid quizzer; organizes fun events with friends; volunteered for the first TEDx event organized by the team at IITH in 2015; has an uncanny ability to learn new tools and can have working prototypes ready within a week; used to blog; enjoys morning coffee.