May 2023 – Nov 2023 · 6 mos · California, United States · Remote

• ● Enhanced risk evaluation algorithm improving accuracy and effectiveness, providing enhanced insights into data-related risks
• ● Developed and implemented new features to augment the understanding of risks associated with data

Jan 2023 – May 2023 · 4 mos · West Lafayette, Indiana, United States

• Teaching Assistant for course CS 182 - Foundations of Computer Science

Aug 2022 – Dec 2022 · 4 mos · West Lafayette, Indiana, United States

• Teaching Assistant for CS 44800 - Introduction to Relational Database Systems
• ● Created and presented the lesson plans for the course as well as homework and projects
• ● Reinforced student learning of skills through weekly problem-solving sessions and office hours for a class of 40 students
• ● Provided timely and frequent feedback to students on Piazza, fostering an open communication environment
• ● Evaluated and graded exams, assignments and projects for the course

Jan 2022 – May 2022 · 4 mos · West Lafayette, Indiana, United States

• Teaching Assistant for CS 18200 - Foundations of Computer Science
• ● Contributed towards finalizing the lesson plans for the course as well as homework and quizzes
• ● Reinforced student learning of skills through weekly problem-solving sessions and office hours for the class of 80 students
• ● Provided timely and frequent feedback to students on Campuswire, fostering an open communication environment
• ● Graded course evaluative that accounted for more than 80% of the course total

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

Jan 2021 – Jun 2021 · 5 mos · Bengaluru, Karnataka, India

• ● Designed fund release tool using AWS, reducing turn-around time for customers from several days to few hours
• ● Implemented Suppression Configuration store (using Verto), PreProcessing component for AmazonPay Notification System
• ● Reduced cost requirements by over 60% as compared to current resources being utilised for the process

May 2020 – Jun 2020 · 1 mo · Noida

• ● Generated CNN model to extract features from human brain’s electroencephalography EEG signals using Python, Keras
• ● Formulated an encoding of digits to alphabets to determine user's speech
• ● Achieved 88% model accuracy on the MindBig dataset

May 2019 – Jul 2019 · 2 mos · Greater Delhi Area

• ● Improved MRR (Mean Reciprocal Rank) of AutoSuggest API in MOVE application (TensorFlow, Pandas)
• ● Built a recommendation system to display movies employing a user-to-user collaborative model
• ● Created chatbot for weather forecasting microservices using RASA NLU