Nirant Kasliwal
AI engineer that takes companies from RAGs to riches
Bengaluru, Karnataka, India
Joined January 2026
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Summary
Nirant Kasliwal is an accomplished AI/Machine Learning Engineer and consultant with a strong focus on Natural Language Processing (NLP), Information Retrieval, and Large Language Models (LLMs). He applies his expertise to help companies, particularly startups, evaluate, optimize, and deploy AI agents and RAG (Retrieval Augmented Generation) systems. nirantk+2
He is a recognized contributor to the open-source community, having built the fast-embedding library FastEmbed for Qdrant and contributed to Ragas (an agent metrics layer). He also maintains popular resources like Awesome NLP and NLP-progress, demonstrating a commitment to making ML knowledge accessible. nirantk+4
Nirant is also an educator and author, having written 'Natural Language Processing with Python Quick Start Guide' and created the 'rag-to-riches' course on Maven, which focuses on building production-ready RAG systems. His educational efforts are aimed at empowering software engineers in the AI space. nirantk+3
His work experience spans various companies including Scaled Focus (Founder), Qdrant (AI Engineer), Sundial (Software Engineer), and Verloop (Machine Learning/Data Science Lead), showcasing a career progression from research and data science to leading AI initiatives and founding his own venture. weekday
Work
Education
Projects
Writing
The Hitchhiker's Guide to NLP in spaCy
January 1, 2019Won the first-ever NLP themed Kaggle Kernel Prize in 2019 for this guide on using spaCy for NLP.
Natural Language Processing with Python Quick Start Guide
January 1, 2018A book written to make Natural Language Programming accessible for software engineers and programmers, selling over 5000 copies.
Comparative study of preprocessing and classification methods in character recognition of natural scene images
January 1, 2016A paper discussing comparative study of preprocessing and classification methods in character recognition of natural scene images.
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