ÂÜÀòÂÒÂ×

Aditya Gupta has a wealth of experience in the field of artificial intelligence and software engineering. Aditya'smost recent role is AI Manager at ConveGenius, a position they have held since 2022. Prior to that, they held the role of Senior Research Engineer at Aspiring Minds from 2018 to 2022, where they created a recruitment chatbot powered by artificial intelligence. Aditya was also responsible for developing a resume parser with over 90% accuracy. From 2016 to 2017, Gupta was a Researcher at Delhi University, where they invented a ranking system that re-ranks search query results based on technical complexity of the documents. During this time, they also worked as a Stanford Scholar at Stanford University, where they produced research talks in various fields in science and was the DRI for a research talk on efficient algorithms for public-private social networks. In 2016, they were an Associate Software Engineer at Indus Valley Partners, where they worked on IVP Treasury and designed and developed a repo financing analytical dashboard and financing summary.

Aditya Gupta has an extensive educational background. Aditya completed a Bachelor of Science (B.Sc.) in Computer Science from Shaheed Sukhdev College Of Business Studies in 2014. Aditya then went on to pursue a Master of Science (MSc) in Computer Science from the Department of Computer Science, University of Delhi, which they completed in 2016. Prior to that, they attended Vivekanand School. In addition to their formal education, Aditya has obtained numerous certifications from IBM Cognitive Class, Coursera, and DataCamp since 2017. These certifications include Scala 101, Spark Fundamentals I, Deep Learning Specialization, Python for Data Science, Sequence Models, Convolutional Neural Networks, Introduction to Python for Data Science, Improving Deep Neural Networks, Structuring Machine Learning Projects, Neural Networks and Deep Learning, Mastering Software Development in R, Building Data Visualization Tools, Machine Learning, Basic Statistics, Building R Packages, Advanced R Programming, Exploratory Data Analysis, Introduction to Big Data, The Data Scientist’s Toolbox, and The R Programming Environment.