Teaching Assistant for CS3630 Intro to Robotics and Perception
Research Work:
Gatech EIC Lab:
Developing and refining a novel method for augmenting attention weights in Large Language Models (LLMs), aimed at improving their performance and accuracy.
Semester 1
Courses:
Machine Learning
Software Analysis and Compiler Design
Explainable AI
Research Work:
RAIL Lab:
Implemented a multi-cluster, multi-region solution for managing Time Series DB through the use of Victoria Metrics, which led to an annual cost reduction of $10k by replacing the InfluxDB and Prometheus setup.
Developed an ELT pipeline using PySpark and GCP tools to facilitate customer data analysis with Random Forest. This initiative led to a 70% increase in actionable insights for enhancing product experience.
