Data Scientist at EventRegistry

I am a Deep Learning Engineer at EventRegistry where I am developing a data science pipeline using deep learning-based text classification algorithms and deploying it using rest API. Previously, I worked as a Data Scientist at Outbrain based in Ljubljana, Slovenia. My day to day work involved implementing and analyzing the real-time machine algorithms and integrating it with the bidder infrastructure. Before joining Outbrain, I worked as the Product Engineer, Data Engine at Sprinklr where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring framework.
I graduated from the Indian Institute of Technology(IIT), Kharagpur with majors in Mathematics and Computer Science and a micro-specialization in Optimization Theory and Applications. My interests lie at the intersection of Applied Mathematics and Computer Science. More specifically, I am intrigued by the current trend in the field of Optimization, Data Analytics, and Machine Learning and their application in improving our day to day lives.
I have also been involved in the project titled "Machine learning tools for classification of qualitative traits of differential equation solutions" where I developed a set of tools for easily classifying parameters using machine learning tooling for users inexperienced with machine learning.