1️⃣ I'm a CS grad at University of California, San Diego for Fall 2022. I did my undergraduate in Computer Science and Engineering at SSN College of Engineering, Chennai, India.
2️⃣ I have worked on developing an Optimized Arrhythmia Detection Pipeline for resource-constrained devices, which has been accepted at the 20^th International Conference on Machine Learning and Applications (ICMLA), 2021. You can find the code for it here.
3️⃣ I have also worked on another research paper on developing Scalable Machine Learning Architecture for Neonatal Seizure Detection, that has been accepted at the 2^nd International Conference on Artificial Intelligence and Signal Processing (AISP), 2022. You can find the implementation for the same here.
4️⃣ I was a Teaching and Research Assistant at Solarillion 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 kindly email me for any potential projects 😄!
6️⃣ Check my portfolio website for more details and an updated résumé.