Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
education
Honours Bachelors of Science (In Progress)
University of Toronto, St George Campus
International Baccalaureate Diploma
The British School New Delhi, India
Cambridge IGCSE
The British School New Delhi, India
Additional Certifications
Online
experience
Undergraduate Researcher
Middleware Systems Research Group, Department of Electrical and Computer Engineering, Toronto, Canada
Research Intern
Vector Insitute, Toronto, Canada
Undergraduate Researcher (CSC494)
Rahul Krishnan Group, University of Toronto & Vector Institute, Toronto, Canada
Bioinformatics (Computational Virology) Researcher
RNALab, Dr. Artem Babaian, University of Toronto, Toronto, Canada
Machine Learning Researcher
BMOLab, Dir. David Rokeby, University of Toronto, Toronto, Canada
Data Catalogue Research Assistant (Engineer)
Super CDMS, SNOLAB, Prof. Miriam Diamond, University of Toronto, Toronto, Canada
Natural Language Processing Intern
Yellow AI, New Delhi, India
Undergraduate Researcher (Volunteer)
Prof. Steve Engels, University of Toronto, Toronto, ON, Canada
Research and Development Intern
Nike and Rookie India, RJ Corp, India
grants
Vector Institute Research Grant (2024)
This was awarded for my work into Machine Unlearning under Dr. Rahul Krishnan
University of Toronto Excellence Award (2024) - Not Accepted
I did not accept this award, but it was awarded for my work in the RNALab under Dr. Artem Babaian on using embedding models in the field of computational virology.
projects
Turing Machine Simulator
A C++ Program providing the functionality to design, customise and emulate a single-tape Turing Machine.
Messaging Server
A small social network written in C to run on a linux server
Parallel Make
An implementation of the make program but parallelized
Breakout
A custom version of the classic Breakout game built from scratch in MIPS assembly
Flipwise
A program for planning, tracking, and splitting the cost of shared expenses
Skilltree
A web app that takes what you want to learn and constructs a personalised skill tree, dividing this goal into sub-goals - giving you milestones to achieve on your learning path.
Book Depo
A web app that aggregates free ebooks available online for download into a singular search engine
ToDo+
A desktop todo application combining multiple productivity tools into one location
Bindr
A study tool for IB students
Time Bandit
A 2D side-scrolling hack n’ slash game built in Godot
Script Writer
A program to assist in writing documents in the format of a play script
Part-Of-Speech Tagging
A Hidden Markov Model POS tagger with a 93.5% accuracy in predicting ground-truth tags.
Expenses Tool
A tool to track and visualise expenses
Mini-C Compiler
A C-subset compiler written in C++ using ANTLR and LLVM
A Preemptive User-Level Threads Package
A custom user-level threading package in C with the ability to create, destroy, concurrently run, and preempt threads
Virtual Memory Paging Simulation
Simulating the operation of page tables and multiple page replacement algorithms.
FUSE Very Simple File System (OSTEP)
A user-space implementation of the VSFS (Very Simple File System) from OSTEP.
Battleship Solitaire Solver
A program using ARC-3 and backtracking search to solve the battleship solitaire constraint satisfaction problem
Sales and Customer Analytics Tool
A tool constructed for RJ Corp India’s Nike and Rookie division for my IB Computer Science Internal Assessment project
Mini Haskell Type Inference
Polymorphic Type Inference and Unification for a subset of the Haskell language
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides
research
Reload: Data-Free Machine Unlearning and Model Editing through Selective Data Forgetting and Selective Data Replacement (Ongoing)
A self-driven research project undertaken as a research intern at the Vector Institute under Dr. Rahul Krishnan
Automatic labelling of data clusters: Alignment checking and unsupervised clustering
Using word embeddings to learn a descriptive feature space to automatically annotate unlabelled clusters
Understanding the dynamics of adversarial training through generative adversarial kolmogorov-arnold networks
Using the Kolmogorov-Arnold network capacity for symbolic equation decomposition to understand the phenomena of adversarial training
Are video-games effective tools for early-years mathematical education
A project completed under Prof. Steve Engels, designing a hyper casual mathematics game for reinforcing arithmetic skills in children
Exploring Syntactic Dependency Trees as a Method for Assessing Semantic Equivalence
Discovering whether there are more efficient implementations by first researching whether similarity measures on dependency trees are a good measure of semantic equivalence between sentences.
An Investigation and Simulation of the Impact of COVID-19 on the Political Satisfaction of the General Public
A sentiment analysis based project aimed at understanding political satisfaction during COVID-19 through scraping and studying reddit data
To what extent is Proximal Policy Optimisation a more efficient and accurate reinforcement learning algorithm in procedurally generated environments?
An evaluation of Proximal Policy Optimisation on procedurally generated video game environments
You should think about that some more: Recurrent Threshold Neural Networks
Exploring using a probability threshold and a feedback loop to create a dynamically deep neural network with the ability to say ‘I don’t know’
Downstream Feature Masking for Contrastive Pretrained Models (Ongoing)
A research project in collaboration with Patrik Reizinger on unlearning in contrastive self-supervised models
Are Sequential Models Fantastic Simulators? (Ongoing)
Exploring the use of autoregressive models in simulations
Can Self-Supervised Models unlearn themselves? (Ongoing)
A study into whether the data-augmentation and completion mechanisms of self-supervised models allow them to unlearn data themselves
Discovering hidden correlations from Sequence Read Archive Bioproject metadata
Conducted during my time at the RNALab under Dr. Artem Babaian. Studying the metadata in the sequence read archive using text embeddings and unsupervised learning.
Continuous and Real-Time Audio Diffusion through freeze maps (Ongoing)
Exploring the use of freeze maps to use stable diffusion to generate audio in real time
Fine-Tuning LLMs on small datasets for real-time script generation in the performing arts
Studied ways to use QLoRa fine-tuning for LLMs with small theatrical datasets
Manipulating the historical latents of large diffusion models for targeted generation (VoiceScroll Project)
Discovering how to manipulate old stored latents for generation of images consistent with the current latents
Interesting State Learning as a paradigm for Reinforcement Learning in Mario
Using a learned probability distribution to select interesting states for reinforcement learning trajectories to start from
talks
Machine Unlearning: An Introduction
Published:
This talk gave an introduction to machine unlearning for the purposes of removing biases, confusion, and protecting user privacy. It focused on the premise of unlearning, the difference between exact and approximate unlearning, and methods which approach unlearning. Additionally, I discussed major open problems in unlearning and the challenges in the field. These focused on problems regarding data, metrics and evaluation, and the need for a unified ‘goal’ for unlearning. I ended the talk by doing a deep dive into how these problems are exacerbated in the cases of Large Language Models, and recent efforts (TOFU and WMDP) to improve the quality of work in the field.
Reload: Selective Data Forgetting and Selective Data Replacement
Published:
This talk covered the work I performed over the summer of 2024 at the Vector Institute as a research intern under Dr. Rahul Krishnan.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.