Rahul Senguttuvan

About Rahul Senguttuvan

The year was 2010. Like all other teenagers inspired by movies, I too was hooked to programming and Computer Science after watching \" The Social Network \". My new found motivation came to halt after I discovered the inspect option and decided to view the source code of a web based video game I was playing at that time. HTML and Javascript looked like gibberish and the thousands of lines of code was overwhelming. I decided I needed to start from scratch. Enter Undergraduation,My 4 years of Engineering taught me a lot about Computer Science as a theoretical subject and introduced practical implementations of data structures. My projects included the use of backtracking (\" Rat in the maze \") and self balancing trees ( Avial Trees ) using C. I also invested time out of University, building large scale applications using Python, C++, SQL and learnt a mobile tech stack through Google \'s Scholarship program. MastersMy interest in building large scale distributed systems led me to pursue a Master\'s in Computer Science at Purdue University, West Lafayette. Work ExperienceI have about 4 years of work experience and I\'m focusing on tackling issues on scaling services.

Experience

1. Software Engineer

   Bloomberg

   May 2023 — Present · NY, US

   Decreased message delivery delay by 5 seconds through optimized Apache Kafka retry logic in C++.• Reduced Cassandra query time by 20 minutes (~80% faster) through schema redesign.• Optimized Superset dashbard load time by improving Trino query performance, reducing Iceberg table bloat, and cleaning up manifest files — achieving ~92% improvement (from 60s to ~5s).• Converted a static Bloomberg Terminal function into a realtime pipeline (TypeScript, C++), improving responsiveness and user experience.

Education

• Purdue University

  Master's degree, Computer

• Coimbatore Institute of Technology

  Bachelor of Engineering - BE, Computer Science

  2015 — 2019