Work Experience

Wayfair, Mountain View, CA

Working on cutting-edge machine learning applications for e-commerce.

Key Responsibilities:

• Developed a recommendation engine for images for improving user product discovery.
• Designed a multi-task neural network for sales forecasting across multiple markets and stages of B2B customers.
• Built Monitors for Features and Model performance.

Wayfair, Boston, MA

Automated product color extraction from images using object detection and segmentation based on input query text.

Key Achievements:

• Created a pipeline with state-of-the-art models: GroundingDINO and Segment-Anything-Model (SAM).
• Modified existing models to adapt for specific e-commerce use cases.
• Improved product primary and secondary color identification accuracy for the catalog.

Wayfair, Boston, MA

Designed and implemented a Graph Neural Network (GNN) framework to build an item-to-item-based recommendation system.

Key Achievements:

• Developed novel loss functions to optimize the training of GNNs.
• Created a bipartite GNN with users and items to generate vector representations.
• Utilized GNNs to encode products to an embedding space for effective recommendations.

Read my internship blog post

Systems Imagination, Remote

Developed a hybrid neural network framework that processes time series and tabular data to predict COVID-19 case counts and risk for US counties.

Key Achievements:

• Built predictive models for COVID-19 outcomes across American counties.
• Created a hybrid framework to handle multiple data types simultaneously.

Accenture, Bangalore, India

Worked on database management and ETL processes for enterprise applications.

Key Responsibilities:

• Developed migration scripts and stored procedures for databases.
• Created SQL queries for ETL transformation logic.
• Optimized database performance.