vkethana.com

My Projects

Name What is it? Link
Cognateful LLM-Powered Language Learning View
RISC-V CPU Designed RISC-V CPU in Logisim View
Handwritten Digit Classifier ML algorithm in RISC-V assembly to classify digits View
FactGrid Cuneiform Project ML model to segment and transcribe Cuneiform tablets View
The David Deutsch Dictionary Online database of quotes with Google Sheets backend View
Helium Balloon Project OpenCV-powered object tracking for helium balloons View
2D Convolutions Optimizer Parallelizable 2D discrete convolutions algorithm View


More Info

Project Name Image Description
Cognateful Image from my language learning app Interactive language-learning app that teaches you French using stories written in French, with translation exercises that are scored using large language model judgements.
RISC-V CPU RISC-V CPU Datapath Built a full CPU in Logism that runs instructions in assembly language. Implemented two-stage pipelining to increase throughput. Prevent control hazards via pipeline flushing.
Handwritten Digit Classifier Image from the MNIST Handwritten Digits database Designed machine learning algorithm to classify handwritten digits from MNIST database of 60,000 28x28 images. Wrote RISC-V assembly procedures for matrix multiplication, dot products, and the activation and loss functions.
FactGrid Cuneiform Project FactGrid Cuneiform Project Develop machine learning model to segment and transcribe dataset of 1,068 annotated Cuneiform tablets using the YOLOv8 architecture.
The David Deutsch Dictionary The David Deutsch Lexicon Online database of quotes from science author and quantum physicist David Deutsch. Utilizes Google Sheets as a backend database to allow for seamless and near-real-time updates. Scraped quotes off the internet using Python3 and NLTK (Natural Language Tool Kit). Designed UI using Flask and HTML.
Helium Balloon Project Helium Balloon Project OpenCV-powered object tracking for helium balloons using the CSRT (Channel Spatial and Reliability Tracking) algorithm.
2D Convolutions Optimizer diagram of convolutions Created algorithm for running 2D convolutions. Sped up algorithm by a factor of 8.10x using SIMD Instructions, multithreading via OpenMP, and targeted algorithmic optimizations. Wrote OpenMPI coordinator to support process-level parallelism capabilities.

Bio

My name is Vijay Kethana, and I’m a computer science student at UC Berkeley aspiring to work as a software engineer. I’m working towards specializing in AI and machine learning. I’m also an avid reader and language learner.

Education

Skills