Krish Naik
Founder And CEO at KRISHAI Technologies Private Limited
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolKrish Naik is a data science entrepreneur and technical leader with about nine years in software development and eight years focused on machine learning and deep learning, currently founder and CEO of KRISHAI Technologies and former Co-Founder of iNeuron.ai. He has led end-to-end AI projects at Honeywell, Panasonic and EY, translating product requirements into production-ready models and automation pipelines while mentoring teams and delivering corporate training. A prolific educator and communicator, Krish runs a YouTube channel with over a million subscribers and maintains hands-on GitHub repos demonstrating practical NLP, feature engineering, model deployment (Flask/Streamlit) and Dockerized ML workflows. His work blends classical algorithms and data-structure rigor with modern deep learning (CNNs, RNNs, TensorFlow/Keras) and pragmatic engineering practices like logging, exception handling and reproducible project setups. Notably, he pairs public teaching content and interview-prep material with production experience, making complex concepts accessible while shipping scalable solutions. Based in Bengaluru, he combines entrepreneurship, developer-first tooling, and a strong record of open-source instructional contributions.
7 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (BE) Science, Bachelor of Engineering (BE) Science at PDA College of Engineering
English, Hindi, Nepali, Kannada
Github Skills (56)
data-visualizations10
seaborn10
web-application10
word2vec10
python10
apidoc10
data-science10
classification10
matplotlib10
scikit10
pandas10
nltk10
machine-learning10
data-visualisation10
exploratory-data-analysis10
Programming languages (4)
Github contributions (5)
krishnaik06/Machine-Learning-Algorithms-Materials
Feb 2022 - Jul 2022
Role in this project:
Data Scientist
Data ScientistContributions:17 commits, 17 pushes, 1 branch in 5 months
Contributions summary:Krish's commits primarily involve implementing and exploring various machine learning algorithms. The code modifications include the implementation of Linear Regression, Ridge, Lasso, Logistic Regression, Decision Tree, and Decision Tree Pruning, demonstrating a focus on model building and practical application. The commits showcase the use of scikit-learn and pandas for model development and data manipulation, indicating expertise in model implementation. The user leverages the Boston house prices dataset and the Iris dataset, indicating a focus on regression and classification problems.
krishnaik06/Natural-Language-Processing
Jan 2019 - Nov 2019
Role in this project:Data Scientist
Data ScientistContributions:6 commits, 5 pushes, 1 branch in 10 months
Contributions summary:Krish implemented several Python scripts for natural language processing tasks within the repository. These tasks include stemming, tokenization, lemmatization, and the creation of Bag-of-Words and TF-IDF models. Additionally, the user built and trained a Word2Vec model, demonstrating expertise in word embedding techniques. The contributions indicate a focus on text preprocessing and feature engineering for NLP applications.
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