I worked with the AI/ML Research Team to create an end-to-end interactive data exploration and navigation framework. The product had the capability to encompass a mammoth version of the company's current data pipeline. Some of the properties of the framework include - feature selection, extraction, and clustering, correlation analysis, statistical hypothesis testing, feature statistics, regression baselines, and XGBoost modeling - all under the same umbrella of a single product. The generated report serves as a baseline for ML modelers to build better models.

Worked on building a Root Cause Analysis (RCA) Engine that can triage issues and classify server errors by embedding knowledge into automated stackstorm workflows. The engine utilizes the time series anomalies of server characteristics from splunk, correlation analysis, and Neural Network-based error predictions. I also built a clustering algorithm for stack traces by conceptualizing a new 'func2vec' (function to vector embedding) algorithm and used stack-trace embeddings to visually classify stack traces in tensorboard projections. Click here to view my Salesforce Experience Article.

Collaborated with an interdisciplinary team, on a physical as well as a virtual basis over 3 months to work on Industry 4.0 problems for the Indo-German Challenge for sustainable production. I was a part of the visualization team, responsible to use augmented reality-based tools to monitor production lines in a unity-based app. The project was funded by Stifterverband. Here is the website of the research and exchange.

Worked on a project that aims at Land Use classification using microwave satellite images around the Bharatpur Sanctuary region to better identify agricultural lands and water bodies. This was one of the world's first works on deep learning-based classification of temporal SAR satellite data frames - on a self curated dataset. Here is the link to my publication of this work.

10-701 Introduction to Machine Learning (PhD) - Spring 2022 and Fall 2022

11-637 Foundations of Data Science - Summer 2022 

CS F212 Database Systems, CS F101 Computer Programming, CS F213 Object Oriented Programming

Designed labs on Database Management Systems in SQL, Transactional and Relational SQL

Computer programming course involving C and Unix based assignments for the freshman course

Conducted lab sessions for the Java-based assignments