About

Siddhanth Pillay is a highly motivated and enthusiastic Machine Learning Scientist at GoDaddy, with a core interest in Machine Learning, Deep Learning, and its varied applications. He is a former Grad Student at Carnegie Mellon University, where he completed his Master's in Computational Data Science with a GPA of 4.0. Siddhanth has a proven track record of developing state-of-the-art models and pipelines to solve real-world problems. He has worked on developing LipReading models using Tensorflow to improve the competitiveness of Shure products in the market. Additionally, he has developed Neural Network models and robust pipelines to deploy on Edge Audio devices to improve performance. As a Data Science Intern at Shure, Siddhanth developed an end-to-end Image Segmentation Pipeline in PyTorch and implemented a related deployment pipeline. He also deployed Neural Network-based signal processing models on x86 processors using Tensorflow Serving and Docker. Siddhanth's Tech Stack includes ML, Research Scientist, Data Scientist, Deep Learning, Tensorflow, Neural Networks, Software Engineer, Image Segmentation, Docker, and Pytorch. He has relevant experience of 0.27 years and is always eager to learn and work on the deployment of the latest academic research into usable products. Siddhanth is a highly motivated and driven individual who is passionate about using Machine Learning and Deep Learning techniques to solve real-world problems. He is a valuable asset to any team, and his ability to develop state-of-the-art models and pipelines makes him an ideal candidate for any ML-related project.