PrateekĀ Narang
Senior Software Engineer & Team Lead at Udemy
Bengaluru, Karnataka, India
Summary
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Seniorš
Top SchoolPrateek Narang is a Senior Software Engineer with 11 years of experience blending product-grade engineering at Google with hands-on edtech entrepreneurship. As a founding member of the Product Uplift team he builds systems to capture and analyze user feedback at scale, while also creating accessible coding education through CodingMinutes and courses on Udemy that have reached tens of thousands of learners. He co-founded Coding Blocks and has taught data structures, algorithms, ML and interview prep, pairing practical pedagogy with production ML work (including sentiment RNN and K-means/color-segmentation contributions). Comfortable moving between research-grade ML and scalable product engineering, he holds an MS(Research) focused on ML/Deep Learning from IIT Delhi and a CS degree from DTU. Based in Bengaluru, he combines entrepreneurial drive with a proven track record of shipping measurable product improvements and high-impact learning content.
12 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Delhi Technological University (Formerly DCE)
Punjabi, Hindi, English
Github Skills (7)
machine-learning10
rnn-model10
nlp10
kmeans10
n10
natural-language-processing10
sentiment-analysis9
Programming languages (8)
Github contributions (5)
coding-blocks-archives/machine-learning-online-2018
Jul 2018 - Jun 2020
ML Online Course Repository. Course videos on online.codingblocks.com
Role in this project:
Data Scientist
Data ScientistContributions:38 commits, 4 PRs, 30 pushes in 1 year 11 months
Contributions summary:Prateek's contributions primarily involve adding code, specifically focusing on machine learning model training. The commits show additions related to the implementation of a model using K-means and color segmentation. The provided code differences suggest work on using NLP for feature engineering, including implementing a sentiment analysis RNN model and its associated code.
machine-learning
prateek27/Coding-Problems
Dec 2014 - Mar 2016
Contributions:58 commits, 23 pushes in 1 year 2 months
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