About Me

Hey there!

My name is Shankar Kumar S, populary known as Shanky! My curiosity towards the possibilities of what can be done using a computer led me to take up Computer Science as my undergraduate and postgraduate field of study.

Over the years, I have dipped my feet into various domains such as Machine Learning, Deep Learning, Large Language Models and Full Stack Development. As a result, my projects and experience are from these different domains.

Also, I have always found the feeling of inventing something novel to be absolutely exhilerating. This has pushed me to contribute to research work as well.

This website exists so that I can showcase the various shades that make me who I am today. Hopefully this will make it easier for you to connect with me.

Experience

University of Illinois Urbana Champaign
(Feb'24 - Present)
Graduate Research Assistant
Champaign, IL
Wells Fargo
(Jul'22 - Jul'23)
Software Development Engineer
Bangalore, India
Wells Fargo
(Apr'21 - Jul'21)
Software Development Engineer Intern
Hyderbad, India
Qatar Computing Research Institute
(Jul'20 - Feb'21)
Research Fellow
Doha, Qatar (Remote)

Education

University of Illinois Urbana-Champaign
Masters in Computer Science
(Present)
College Of Engineering Guindy, Anna Univeristy
BE Computer Science and Engineering
(May'22)
SBOA School & Junior College
Senior School Education
(May'18)
SBOA School & Junior College
Secondary School Education
(May'16)

Projects

Covid-19 Misinformation Detection in Social Media

Designed and developed a LLM based NLP Deep Learning Classifier to perform misinformation detection regarding Covid-19 using social media data by combining extracted textual features.

Python
Tensorflow

FedEye: Federated Learning for Multi Class Eye Disease Classification

Devised a ResNet50 and VGG19 based multi class eye disease classifier on retinal images. Implemented decentralized training on multiple clients using federated learning to achieve 95.73% test accuracy.

PyTorch
Python
Transfer Learning

HireIt: Campus Recruitment Platform

Developed a platform aimed at simplifying job search for students and recruiters. Designed the database and implemented CRUD functionalities for job search, application tracking and recruiter job management .

React
Flask
MySQL
Python

Abacus'21 Website

A React based frontend for a technical symposium event website, serving 700+ users. Constructed 18+ reusable Neon-themed components and integrated backend REST APIs to perform signup, sign in, payment, user profile (dashboard).

React
HTML
CSS

Publications

An Explainable AI driven Decision Support System for COVID-19 Diagnosis using Fused Classification and Segmentation

An end to end decision support system to detect Covid-19 in Lung CT scans and localize lesions. Enhanced performance by fusing classification and segmentation features. XAI techniques to provide interpretable results.

Elsevier Procedia Computer Science Journal