Degree/Certifications	Institution	Percentage/CGPA	Year
B.Tech in CSE	National Institute of Technology, Dgp	8.46	2013-17
Online Masters in Computer Science	University of Texas, Austin	3.67	2020 - 2021
Masters in Computer Science	University of California, Irvine		2021 - current

INTUIT FUTURES (R&D) SOFTWARE ENGINEER 2 (Feb 2019 - July 2021)

• Federated Learning Platform:

  • Ideated and Developed an FL platform to train Machine Learning models. Enabled Intelligent Use Cases for our 2 million QuickBooks Desktop customers, since direct data access is restricted, prohibiting traditional approaches.

  • Leveraged this platform to train ML model. Predicted Invoice Payment dates to help customers with better cash flow planning.

• Cerebro: Provides real time insights about Intuit’s competitor products using public and social data. Pivotal in $7.1 billion acquisition of Credit Karma by Intuit, multiple aquihires and tracks market statistics.

  • Owned unsupervised KeyPhrase Extraction model and Sentiment Analysis Model. Saved users time spent on manually going through all reviews by providing weekly user reaction summary about competitor products.

  • Led design of intelligent insights (Anomaly Detection, trends in app update vs ratings) from LinkedIn, Glass Door and App-Annie by building AWS server-less infrastructure and D3.js. It handles 3.5GB every month.

• Quickbooks Self-Help: Conversational User Interface. Answers user queries based on self-help articles and highlights most relevant paragraph within document.

  • Built information retrieval and information extraction model. Retrieved document, matching user query with BERT Em- bedding and highlighted correct paragraph using Bag-of-Words. Increased usage of self-help by 35% and decreased care calls by 66%.

  QUICKBOOKS SOFTWARE ENGINEER (Aug 2017 - Jan 2019)

• Digital Tax Experience for UK: Developed Digital Tax experience for Quickbooks UK that helped 165k customers file their taxes.

• MCS: Infrastructure for storing application configuration to make it variable across different dimensions of product.

  • Constructed a Recommender System to suggest products to consumers based on products sold by similar retailers based on Graph database (Neo4j). Reduced time taken to enter new products to seconds.

• Designed a variation of K Nearest Neighbours algorithm which achieved an accuracy of 98.83, beating previous high score on UCI Wisconsin breast cancer data which was 98.61. Published in Asian journal of Applied Sciences.

• Designed an ensemble model to filter new updates and bugs from user reviews. Published in ICMLSC 2020.

• SuperTuxKart Ice Hockey Player (UTAustin) - Designed a striker and a defender using Reinforcement Learning (DQN) to drive and CenterNet based model to detect Puck. We ranked 4th in final tournament.

• Contributed to Scikit-learn open-source library by writing Invariance Tests for Clustering Metrics.

• Presented at Intuit Internal events on Deep Learning, Federated Learning and Natural Language Processing.

• An ardent blogger - Medium.com

• Written articles for Intuit in DQIndia and NASSCOM community.

• Mentored woman undergraduates as part of woman’s development team in Intuit.

• Given talks and hosted events as part of tech woman at Intuit community.

• Part of university recruitment in Intuit.