Kalit Inani > Education

• Georgia Institute of Technology — Atlanta, GA, US
  Master of Science in Computer Science
  Aug 2024 - May 2026
  

  

  • Coursework: Advanced Operating Systems, Distributed Computing, Systems for AI, Graduate Computer Networks, Mobile Computing and IOT, Computer Vision, Human and Machine Learning
  • Research:
    • EPL Lab: Worked with Professor Kishore and Anirudh Sarma to develop an end-to-end augmented reality video streaming platform using WebRTC. Implemented real-time AR and FFmpeg filters and conducted an initial analysis of computational overheads and processing performance to inform scheduling strategies for edge computing environments.
    • Worked with Prof. Sashank Varma and Vijay Marupudi on Modeling Understanding of Story-Based Analogies Using Large Language Models (CogSci 2025). Benchmarked LLM analogical mapping on story-based tasks using embedding similarity and two-step enhanced prompting, uncovering gaps in causal reasoning and sensitivity to paraphrase variation. [Paper], [Poster]
    • Worked with Prof. Anand Iyer and Vima Gupta on a project titled 'Catching Vulnerabilities in AI-Generated Code at Scale', employing LLM-guided adaptive fuzzing to efficiently detect algorithmic bugs. [Report], [Poster]
  • Teaching Assistantships:
    • CS 6210 Advanced Operating Systems (Spring 2025 - Spring 2026) with Prof. Ada Gavrilovska / Prof. Kishore / Prof. Anand Iyer


• Birla Institute of Technology and Science (BITS), Pilani — Pilani, India
  Bachelor of Engineering in Computer Science + Minor in Data Science
  Aug 2018 - May 2022
  GPA: 9.44/10
  
  

  

  • Introduction to Research:
    • Scaling DNS using Principles of Consistent Hashing
      Guide: Dr. K Hari Babu
      • Studied peer-to-peer DNS systems using the Chord protocol to enhance load balancing, fault tolerance, and query performance in traditional DNS architectures.
    • Unsupervised Fake News and Hate-speech Detection
      Guide: Dr. Yashvardhan Sharma
      • Explored fake news detection in an unsupervised manner, employing variational autoencoders with a focus on reconstruction error analysis and clustering of samples in a lower-dimensional space.
      • Our work 'Applying Transfer Learning using BERT-based models for Hate Speech Detection' (Paper) was published at the Forum for Information Retrieval Evaluation, 2021.
    • Storage and query system analysis for high-speed netflow
      Guide: Dr. Ashutosh Bhatia
      • Built a netflow analysis platform (network traffic generator + nProbe for netflow export + Logstash as the netflow collector + Elasticsearch/Druid as the data store + a query engine) to conduct a study of high-speed network telemetry platforms under varying system loads.
  • Teaching Assistanships:
    • CS F213 Object Oriented Programming (Fall 2021) with Prof. Amit Dua
  • Extra-curriculars:
    • Students' Union Technical Team
    • Coding Club


• Shiv Ashish School — Ahmedabad, India
  Higher Secondary Certificate
  May 2016 - April 2018
  Score: 95.2%
  Short stay here during JEE prep.


• Anand Niketan, Shilaj — Ahmedabad, India
  Senior Secondary Certificate
  Till March 2016
  Score: 96.67%
  Lots of fun!