About

Smit Kiri is a highly skilled Software Engineer with a specialization in Data Science. He recently completed his Masters in Data Science from Northeastern University and has a keen interest in statistics and programming. With a strong foundation in mathematics, Smit is fascinated by how machine learning algorithms can solve complex problems with ease. He likes to understand the inner workings of these algorithms and believes that it is not magic, but simply math. Currently, Smit is working as a Software Engineer, Data Science at Klaviyo. Prior to this, he gained valuable experience as a Graduate Teaching Assistant at Khoury College of Computer Sciences and as a Machine Learning Engineer Co-op at Reboot Rx. During his time at Reboot Rx, Smit enhanced the company's end-to-end NLP pipeline, improving its runtime efficiency by 30%. He also boosted the accuracy of one of the company's core machine learning models by 7%. Smit has experience building several text classification and information extraction models, including BiLSTMs and BERT-based models. He also designed a CI/CD pipeline using AWS CodePipeline to deploy transformer models with Torchserve in a Docker container. Smit worked closely with the science team to validate and improve the performance of the company's end-to-end pipeline. Additionally, he developed multiple web applications using Streamlit and deployed them on AWS. Smit's education background includes a Master of Science in Data Science from Northeastern University and a Bachelor of Engineering in Computer Engineering from Gujarat Technological University, Ahmedabad. His tech stack includes Data Science, Software Engineering, Machine Learning, AWS, BERT, Text Classification, NLP, CI/CD, Docker, and Web. With 2.11 years of relevant experience, Smit is a highly motivated and skilled professional who is always looking to expand his knowledge in the field of Data Science.