- University of California, San Diego
- San Diego, CA, US
- 02:26
(UTC -07:00) - https://vishaln15.github.io
- @vishal15n
- in/vishalnagarajan
Highlights
- Pro
1️⃣ I'm a CS grad atUniversity of California, San Diego for Fall 2022. I did my undergraduate inComputer Science and Engineering at SSN College of Engineering, Chennai, India.
2️⃣ I have worked on developing anOptimized Arrhythmia Detection Pipeline for resource-constrained devices, which has been accepted at the20th International Conference on Machine Learning and Applications (ICMLA), 2021. You can find the code for ithere.
3️⃣ I have also worked on another research paper on developingScalable Machine Learning Architecture for Neonatal Seizure Detection, that has been accepted at the2nd International Conference on Artificial Intelligence and Signal Processing (AISP), 2022. You can find the implementation for the samehere.
4️⃣ I was a Teaching and Research Assistant atSolarillion Foundation where I researched in the area of Signal Processing and Embedded Machine Learning.
5️⃣ My interests include DevOps, Machine Learning, Deep Learning, Explainable AI, and Signal Processing. I am available to make contributions to the Open Source community, so kindlyemail me for any potential projects 😄!
6️⃣ Check myportfolio website for more details and an updatedrésumé.
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- BlogAnalyticsDashboard
BlogAnalyticsDashboard PublicForked fromrohithaug/ucsd-shs-viz-tool
UCSD CSE 210 Project
JavaScript
- NeonatalSeizureDetection
NeonatalSeizureDetection PublicImplementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.
- OptimizedArrhythmiaDetection
OptimizedArrhythmiaDetection PublicCode for Optimized Arrhythmia Detection on Ultra-Edge Devices
- sentiment-analysis
sentiment-analysis PublicA simple Flask web app dockerized and deployed on Google Cloud Platform. Jump to the page below to view the live app.
Python 1
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