DevFolio Bootstrap Template

Education

University of California San Diego
Master of Science in Computer Science

International Institute of Information Technology, Hyderabad, India
Bachelor of Technology (Honors) in Computer Science Engineering (CSE)

Experience

Software Development Engineer @ JIO Platforms Limited Mumbai, India
Machine Learning Intern @ MarkovML India Pvt. Ltd. Bengaluru, India

About me

👋 Hi! I am Anandhini, I’m an MSCS student at University of California San Diego.

🌟I was an undergraduate researcher at the Centre for Visual Information Technology(CVIT) advised by Prof. Ravi Kiran. My work focused on AI agents and Human Computing Systems.

🌈 Outside of my work, I find joy in painting, badminton, and dance. I also love watching Korean, Chinese, and Thai dramas.

Projects

SimpleRA

Developed an RDBMS supporting database operations such as load, print, store, and transpose for integer-only tables, efficiently handling large-sized matrices

Linux C- shell

Built a fully functional Linux shell in C that supports redirection, piping, environmental variables, and background and foreground process execution

Optimization Methods

Implemented Simplex Algorithm and Newton’s Method using Backtracking line search. Coded Steepest Gradient Descent Algorithm using Exact line search and Backtracking line search

Image Processing

Image filtering, morphological operations, image segmentation, and image compression; built a fingerprint enhancement and feature extraction system.

Water Level Monitoring System

IoT-based water level monitoring system

Skills

Languages

C,C++

Python

Scala

Java

Bash

Web Dev

HTML

React

CSS

Javascript

Framework and Libraries

Pytorch

Tensorflow

SpringBoot

Beautiful Soup

Scrapy

Tools & Databases

Git

MySQL

MongoDB

Hive

Big Data

Hadoop

Spark

Hive

Kafka

Nifi

Spoken Languages

English

Tamil

Telugu

Hindi

PUBLICATIONS

Kannan Kiruthika, Anandhini Rajendran, Vinoo Alluri, and Ravi Kiran Sarvadevabhatla. "Draw Fast, Guess Slow”: Characterizing Interactions in Cooperative Partially Observable Settings with Online Pictionary as a Case Study." In IFIP Conference on Human-Computer Interaction, pp. 283-303. Cham: Springer Nature Switzerland, 2023.

Undergraduate Researcher @ Centre for Visual Information Technology(CVIT) @ IIIT Hyderabad

• Worked with Prof. Ravi Kiran and Prof. Vinoo Alluri on analyzing player behaviors in a communication-restricted setting by utilizing game telemetry data collected from online Pictionary. • Developed AI agents in the Cooperative Partially Observable(CPO) game Pictionary using text-to-image generators Stable Diffusion and DALL-E Mini.