Nirant Kasliwal
AI Engineer at Scaled Focus
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolNirant Kasliwal is an AI engineer with 12 years of experience building production ML systems, currently focused on automating back-office processes for SMEs using LLMs. He has shipped ranking and vector-search tooling at Qdrant and led intent ranking and multilingual entity systems at Verloop that handled over 90% of company query volume. His background spans research and product roles—from document semantic segmentation and process automation to connected-car event detection—bringing a blend of applied research and pragmatic engineering. An active practitioner in NLP, he contributed text-classification pipelines and experiments in the NLP_Quickbook repository and has hands-on experience with TF-IDF, CountVectorizer, Naive Bayes and logistic regression. Based in Bengaluru, he pairs a data-driven mindset with product sensibility and a knack for uncovering automation opportunities users didn’t realize they had.
12 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Stackoverflow
3reputation
0reached
0answers
0questions
Github Skills (6)
scikit-learn10
nlp10
python10
text-classification10
natural-language-processing10
scikit10
Programming languages (14)
Github contributions (5)
NirantK/NLP_Quickbook
Mar 2018 - Aug 2021
NLP in Python with Deep Learning
Role in this project:
Data Scientist
Data ScientistContributions:114 commits, 13 PRs, 84 pushes in 3 years 5 months
Contributions summary:Nirant primarily contributed to the text classification aspects of the repository. The contributions include introducing and implementing code for extracting features using CountVectorizer and TF-IDF, training a Multinomial Naive Bayes classifier, and evaluating its performance. Further contributions include experimenting with Logistic Regression and adding a model evaluation function based on test accuracy. The user's work appears focused on building and testing various text classification models.
nlppractitionerspythonlanguage-processingdeep-learning
NirantK/quickstart
Jun 2019 - Apr 2022
Contributions:27 commits, 25 pushes, 1 branch in 2 years 10 months
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