• Build and maintain a compiler that translates spreadsheet interactions into optimized, warehouse-specific SQL

• Improve performance via client-side strategies like prefetching, query merging, caching, and an in-browser WASM engine

• Led design and implementation of Sparklines

• Delivered native `VARIANT` support in Sigma for Databricks dialect

• Design multi-stage IR pipelines and apply advanced query optimization techniques

• SQL Generation & Optimization: Develop and optimize the compiler to generate SQL queries with enhanced query performance for various databases like, Snowflake, BigQuery, Redshift, MariaDB, AxureSQL, Databricks, MySQL, and Postgres

• ⁠Browser Cache Management: Implement and manage caching strategies to determine the necessity of backend requests, reducing unnecessary SQL generation.

• ⁠Performance Enhancement: Lead initiatives to minimize end-to-end latency, improving overall system responsiveness and user experience.

• ⁠Continuous Bug Fixing: Identify, troubleshoot, and resolve bugs to maintain the stability and reliability of the BI tool.

• Worked on adding a functionality to create semi-structured data within Sigma

• Contributed to ongoing team projects and open issues

• Bug fixing and ramp up on more complex internal architecture

Course Producer for CSCI 576: Multimedia Systems under Prof. Parag Havaldar for Spring 2024 (10 hours)

Responsibilities (Spring 2024):

• Assignment Environment Setup

• Grading assignments

• Dataset Creation for Assignments

Teaching Assistant for CSCI 572: Information Retrieval and Web Search Engines under Prof. Saty Raghavachary for Fall 2023 (20 hours) and Spring 2024 (10 hours)

Responsibilities (Spring 2024):

• Grading assignments and exams

• Conducting office hours

• Rubric Reviews

Responsibilities (Fall 2023):

• Managing a team of 3 TAs and 20 CPs

• Helping students with their questions/doubts through Piazza

• Conducting office hours

• Preparing rubrics for exams and assignments