Hi, I am Anamika Lochab.

I'm currently pursuing my PhD in Computer Science at Purdue University under the guidance of Prof. Ruqi Zhang. Previously, I completed my Master's degree in Computer Science at Rutgers University, where I received an Outstanding Project Award. I earned my Bachelor's degree in Computer Science and Engineering from Vellore Institute of Technology, Bhopal, graduating as a Gold Medallist.

My interests lie in Trustworthy AI, Explainable and Reliable AI, and I am quite fascinated by the potential of Large Language Models (LLMs).

Projects

DreamBooth

Text-to-Image Diffusion Models for Subject-Driven Generation.

Serendipity in RecSys

A novel approach to incorporate serendipity into traditional recommender systems.

Aid-Quest

A web-based tool that aims to help children with ADHD in improving behavioral and executive functions via different games.

Image Classification

Implemented Naive Bayes Classifier, Perceptron Classifier and Neural Networks classifier algorithms for face and digit data

Text-to-Speech

To extend the reach of digital content via TTS which gives access to a greater population, such as those with literacy difficulties, reduced vision and those learning a language.

Stray Ping

An app through which users can submit images of stray animals to municipal corporations to get the animals sent to shelters.

Teacher's Toolkit

Application to handle student, teacher data, and to help teachers in daily classroom activities

Teaching Experience

Teaching Assistant, Purdue University

Course: CS25100 : Data Structures And Algorithms, Fall 2024

  • Instructing 2 lab sections per week and grading.

Teaching Assistant, Rutgers University

Course: CS 439 : Introduction to Data Science, Spring 2024

  • Conducted weekly lab sessions to familiarize students with data visualization, data wrangling, data mining, and various ML algorithms.

Course: CS 210 : Data Management for Data Science, Spring 2024

  • Instructed 2 lab sections per week, demonstrating and teaching data cleaning, visualization, and analysis methods using Python, including statistical and ML techniques.
  • Took over lectures in the absence of the professor.

Course: CS 210 : Data Management for Data Science, Fall 2023

  • Instructed 2 lab sections per week, demonstrating and teaching data cleaning, visualization, and analysis methods using Python, including statistical and ML techniques.

Course: CS 206 : Intro to Discrete Structure II, Summer 2023

  • Led tutorial sessions, graded student work, and assisted students in understanding complex concepts effectively.

Work Experience

SmartBridge Educational Services Private Limited

Role: Data Analyst

  • Created a website to detect and predict e-payment phishing websites.
  • Worked on various data analysis tasks.

Excavate Research and Analysis

Role: Intern

  • Worked on dynamic real-time web development using Angular.
  • Responsible for statistical weighting and data automation in Aspose cells in C# for clients like Orange Mobile Company, VEON Bangladesh, and Banglalink.
  • Aided in various survey data analyses using SPSS.

Volunteer Experience

Yugen Education Foundation - Content Creation

  • Content writing and volunteer work to create a positive space and support teachers in rural areas of India by providing educational resources.

Volunteer Teacher - The Dawning Educational Society

  • Tutoring and technical support for the mission to educate rural children during the COVID-19 pandemic.