Projects
Generative AI Discord Bot
July 2024
- Created a Discord bot that integrates with Google’s Generative AI and Wit.ai to provide text and voice-based functionalities.
- Implemented features like text generation, user attitude summarization, voice channel interaction, and voice transcription using Wit.ai.
Characterisation of Different Modes of DPU Operation
Mentor: Prof. Sameer G. Kulkarni | Aug 2023 - Dec 2023
- Conducted a study on NVIDIA's BlueField DPUs, characterizing three operational modes and evaluating four logical modes for latency, throughput, and application benchmarks.
- Assessed DPU performance using kernel IP stack and bypass mode, demonstrating competitive latency and throughput with hardware offload.
- Provided insights into potential DPU applications in heterogeneous computing environments.
On The Scalability of Temporal Graph Neural Networks
Mentor: Prof. Anirban Dasgupta | Feb 2023 - Apr 2023
- Investigated the scalability of Temporal Graph Neural Networks (GNNs) in dynamic graph representation learning.
- Created a dynamic rainfall dataset (1900-2018) and experimented on both static and dynamic GNN models.
File System Exploration for Client-Server Models
Mentor: Prof. Abhishek Bichhawat | Jan 2023 - Apr 2023
- Explored file systems (AFS, WineFS, NFS) for client-server models, targeting user-friendly file management during IITGN's transition to in-house storage.
- Developed a GUI for NFS applications, enabling file viewing, upload/download, and sharing between clients.
Gossip: Python-based Interpreter
Mentor: Prof. Balagopal Komarath | Jan 2023 - Apr 2023
- Developed a Python-based interpreter/compiler for Gossip-lang, supporting concise coding for small projects.
- Implemented features such as static type checking, loops, and exception handling.
Comparative Analysis of Data Plane Packet Processing Modes
Mentor: Prof. Sameer Kulkarni | Aug 2022 - Dec 2022
- Conducted a comparative analysis of traditional kernel mode versus kernel bypass mode (DPDK) for data plane packet processing.
- Evaluated factors such as throughput, latency, and resource utilization, demonstrating the performance benefits of kernel bypass mode.
Chip8 Emulator in Python
December 2022
- Developed a simple Chip8 emulator in Python based on the tutorial at Multigesture.
- The emulator supports basic Chip8 functionality, allowing users to pass a ROM file and run it in Python.
- Controls for the emulator are mapped according to Chip8 specifications.
Web Cookie Analyzer
October - November 2022
- Developed a tool for scraping and analyzing web cookies of a given URL using the Selenium library in Python.
- Implemented functionality for retrieving the TLS version of a site using
tsharkCLI and subprocess API.
Remote File System using Python
September 2022
- A simple implementation of a remote file system using socket programming in Python supporting various
file
functions like
ls,cwd,dwd,upd, andcd. - Implemented using different networking layers: encryption, network layers, and application layer.
Statistical Language Modeling using N-Grams
Mentor: Prof. Mayank Singh | Feb 2022 - Apr 2022
- Developed a trigram statistical language model for next-word prediction, deployed on HuggingFace.
- Analyzed perplexity scores on English Wikipedia articles using Markov assumptions and Laplace Smoothing.
Jacobian Transpose Method for Controlling Robotic Manipulators
April 2022
- Performed path tracking on a two-arm robotic manipulator using the Jacobian transpose method in MATLAB.
- Simulated this algorithm in Unity for real-world applications of robotic control.
MIPS Pipeline Simulator
March 2022
- Designed a 5-stage discrete event MIPS simulator using Python and Tkinter library.
- Implemented hazard detection and applied techniques like data forwarding to mitigate pipeline hazards.
Reinforcement Learning using Unity's ML-Agents Library
September 2021
- Implemented reinforcement learning using Unity's ML-Agents library for a machine learning application.
Modeling Gene Expression using Differential Equations
November 2021
- Modeled the Gene Expression process by constructing algorithms for transcription and translation using differential equations.
- Solved the equations linearly and visualized the results using MATLAB.