Pardeep Singh

Pardeep Singh has over six years of work experience in the field of Machine Learning. Pardeep started their career in 2015 as a Trainee Software Engineer at Paxcel Technologies Pvt. Ltd., where they worked on adding new features to an open source project and implemented an automated build and deployment tool. Pardeep then moved on to Helpshift in 2016, where they worked as a Software Engineer II: Machine Learning and delivered a Django application to perform clustering on customer support tickets. Pardeep also created a roadmap for implementing a Machine Learning Platform to perform end-to-end experiments. In 2020, Pardeep joined Sense as a Lead Machine Learning Engineer and Machine Learning Engineer. During their time at Sense, they worked on the Conversational AI assistant used to prescreen the candidates and enhance the candidate's information in the Applicant Tracking System. Pardeep also worked on implementing the automated model training and deployment pipeline, reducing the time taken to deploy a new chatbot from 3-4 days to 1 hour. Pardeep is currently working as a Lead Machine Learning Engineer at Fairmatic since 2022.

Pardeep Singh has a Master of Computer Applications (M.C.A.) from Thapar Institute of Engineering & Technology in Computer Science, which they obtained in 2015. Prior to that, they obtained a Bachelors in Computer Applications from Panjab University in 2012. Pardeep has also obtained certifications from various institutions, including Coursera, Udacity, deeplearning.ai, University of Washington, Stanford University, Rice University, and NPTEL. These certifications include Getting Started with AWS Machine Learning (2022), AI for Trading Nanodegree (2021), Deep Learning Specialization (2020), Machine Learning Specialization (2020), Statistical Learning (2019), Parallel, Concurrent, and Distributed Programming in Java Specialization (2018), and Introduction to Programming in C, Organised by IIT Kanpur (2014).