Kartikay Bagla
Senior Software Engineer at Love and Care Foundation
Uttar Pradesh, India
Summary
🤩
Rockstar🎓
Top SchoolKartikay Bagla is a Machine Learning Engineer with a decade of hands-on experience building production ML systems and contributing to practical NLP tooling, including code improvements for O’Reilly’s Practical Natural Language Processing repository. A final-year BTech student at Delhi Technological University, he currently develops ML features for Chaos Genius, an open-source business observability platform, and has prior NLP and ML roles across startups where he shipped deployable models. Beyond code, he organizes large-scale student tech initiatives and co-founded a COVID relief effort, reflecting strong product and community instincts. He also builds websites and tinkers with hardware and complex simulation worlds—an inclination that surfaces in practical cross-platform fixes (like Windows compatibility) and usability-focused improvements to shared projects.
10 years of coding experience
7 years of employment as a software developer
10+2, Science, 10+2, Science at Amity International School, NoidaBachelor of Technology - BTech, Mathematics and Computer Science, Bachelor of Technology - BTech, Mathematics and Computer Science at Delhi Technological University
Stackoverflow
3reputation
181reached
1answer
1question
Github Skills (9)
jupyter-notebook10
python10
natural-language-processing10
onehot-encoding10
scikit8
scikit-learn8
natural-language-understanding7
spacy7
amazon-redshift6
Programming languages (12)
Github contributions (5)
practical-nlp/practical-nlp-code
Jan 2021 - Mar 2022
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 32 commits, 18 PRs in 1 year 2 months
Contributions summary:Kartikay primarily focused on updating and improving existing Jupyter notebooks related to one-hot encoding and Bag of N-Grams. They enhanced the quality of life (QoL) for the notebooks by incorporating code improvements and addressing issues, specifically referencing an issue (#19). Additionally, the user made changes to code that would make the project compatible with Windows operating systems. These changes demonstrate a focus on code quality, usability, and platform compatibility within the context of the project.
natural-language-processingnatural-language-understandingoreilly-books
chaos-genius/databricks-sdk-py
Mar 2024 - Oct 2025
Databricks SDK for Python (Beta)
Contributions:3 releases, 1 review, 15 PRs in 1 year 7 months
databricks-sdkpython
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