Sukeerat Kaur
Software Engineer at Paxcom India (P) Ltd - A Paymentus Company
Punjab, India
Summary
👤
Senior🎓
Top SchoolSukeerat Kaur is a software engineer with 8 years of experience, specializing in web development and data structures and algorithms, currently working at Paxcom India (Paymentus). She combines a strong academic foundation in CSE with hands-on contributions to NLP tooling—contributing Windows-compatible notebook updates for the O'Reilly "Practical Natural Language Processing" codebase that improve accessibility for diverse developer environments. A curious, self-motivated learner, she balances production engineering with data science tasks such as topic modeling, summarization, and machine translation. Colleagues know her as a risk-taking problem-solver who ships practical solutions and iterates quickly. Outside of code she pursues creative outlets—painting, dancing, and playing badminton—which she credits for sustaining her focus and creativity. Based in Punjab, India, she brings both disciplined engineering rigor and an appetite for exploring new technologies (and pizza).
9 years of coding experience
Bachelor of Technology - BTech CSE, computer science and enginerring, Bachelor of Technology - BTech CSE, computer science and enginerring at DAV Institute of Engineering and Technology
English, Hindi
Stackoverflow
1reputation
29reached
0answers
1question
Github Skills (18)
gensim10
python10
natural-language-processing10
jupyter-notebook10
machine-translation9
recommender-system9
topic-modeling9
textblob9
scikit8
scikit-learn8
amazon-elasticsearch7
aws-elasticsearch7
elasticsearchquery7
elasticsearch-api7
elasticsearch7
Programming languages (14)
Github contributions (5)
practical-nlp/practical-nlp-code
Apr 2021 - Jun 2021
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 2 PRs in 1 month
Contributions summary:Sukeerat's commits primarily focus on updating and modifying Jupyter notebooks related to natural language processing tasks within the repository. These changes include implementing and adjusting code for topic modeling, text summarization, recommender systems, and machine translation. The user ensures compatibility with the Windows operating system, suggesting a focus on making the code more accessible for different development environments. Their work involves the use of libraries like Gensim, Summa, and TextBlob, directly addressing the core areas defined by the repository's purpose.
natural-language-processingnatural-language-understandingoreilly-books
Havoc-OS/OTA
Jun 2021 - Aug 2022
Contributions:421 commits in 1 year 1 month
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