Hi! I am a current graduate student pursuing master of Engineering in Applied Data Science. I am an ingenious student with a predilection for AI. I am adept in various advanced machine learning, deep learning and natural language processing concepts with a strong foundation in the basics.
University of Victoria
Panimalar Engineering College
SDAV School
75%
85%
70%
An active drowning detection system built using YOLOv5 constantly monitors the swimmers using the underwater camera feed and triggers an alarm when a person the system detects a drowning person. This system is highly accurate and works in real-time on low compute devices.
A Transformer model trained on WikiSQL dataset that accepts natural language as input and returns SQL Query as output. This model is deployed using streamlit.
An encoder-decoder based model to caption images built using PyTorch and deployed using Streamlit. This model uses inceptionV3 as encoder and LSTM layers as decoder. This model is trained on Flickr30k dataset.
A Complete MLOPS project on Brain MRI FLAIR Segmentation. A MobileNet v3 based segmentation project to perform instance segmentation on FLAIR (Fluid-Attenuated Inversion Recovery) abnormality in brain MRI images. This model is trained using Brain MRI segmentation from kaggle and is deployed on Heroku.
Koushik Sivarama Krishnan, Karthik Sivarama Krishnan
Cite
@INPROCEEDINGS{9609375, author={Krishnan, Koushik Sivarama and Krishnan, Karthik Sivarama}, booktitle={2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)}, title={Vision Transformer based COVID-19 Detection using Chest X-rays}, year={2021}, volume={}, number={}, pages={644-648}, doi={10.1109/ISPCC53510.2021.9609375}}
@INPROCEEDINGS{9689188, author={Krishnan, Koushik Sivarama and Krishnan, Karthik Sivarama}, booktitle={2021 International Conference on Intelligent Cybernetics Technology Applications (ICICyTA)}, title={SwiftSRGAN - Rethinking Super-Resolution for Efficient and Real-time Inference}, year={2021}, volume={}, number={}, pages={46-51}, doi={10.1109/ICICyTA53712.2021.9689188}}
@INPROCEEDINGS{9720737, author={Krishnan, Karthik Sivarama and Krishnan, Koushik Sivarama}, booktitle={2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)}, title={Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset}, year={2022}, volume={}, number={}, pages={0518-0523}, doi={10.1109/CCWC54503.2022.9720737}}
April 2023 - July 2023 (Full Time)
October 2021 - February 2022 (Part Time)
January 2021 - June 2021 (Part Time)