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Kirnesh Nandan
Lead Data Scientist | GenAI enthusiast | Interested in explainability of DL models
About
Kirnesh Nandan is a Senior Data Scientist and Deep Learning enthusiast with a strong interest in theoretical Deep Learning ("white-box"). His fascination towards these fields has developed by working on projects at esteemed labs such as ISI Kolkata, Adobe BEL labs India, and Video Analytics Lab, IISc Bengaluru. Kirnesh is very much eager to explore the intersection of mathematics and these extensive deep learning models. With 4.78 years of relevant experience, Kirnesh is proficient in C++, Python, R, JavaScript, MATLAB, Alchemy, Pytorch, Tensorflow, Mxnet, Postgres SQL, and MongoDB. He believes that pursuing your interests rather than following what the world follows gives you more satisfaction, which in turn results in success. Following this quote, Kirnesh decided to pursue a course on Applied Mathematics which has been his interest since childhood. Kirnesh is currently working at nference as a Senior Data Scientist. Prior to that, he has worked at vimaan robotics as a Senior Computer Vision Engineer and at qpiai as a Principal Data Scientist. Kirnesh's education history includes an Integrated M.Sc. in Applied Mathematics from the Indian Institute of Technology, Roorkee and an AISSCE 12TH from Patna Central School in Physics, Chemistry, Mathematics, English, and Informatics Practices. Kirnesh's tech stack includes Deep Learning, Research Scientist, Data Scientist, ML, Computer Vision, SQL, Python, Tensorflow, Pytorch, MongoDB, CNN, Javascript, Microservices, Search, Postgres, AWS, Docker, Neural Networks, Flask, NLP, Azure, Recommendation system, ResNet, Object detection, infra, AI, GAN, OpenCV, Object Detection, Big Data, test, NoSQL, Integration, Backend, and Django.
Education Overview
โข iit roorkee indian institute of technology roorkee
โข patna central school
Companies Overview
โข nference
โข vimaan robotics
โข qpiai
โข adobe
โข video analytics lab
โข indian statistical institute
โข tinkerly
Experience Overview
6.5 Years
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