Kaushik Das
Manager - Projects at Cognizant
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolKaushik Das is a projects manager and AI/ML practitioner with 11 years of experience, currently leading initiatives at Cognizant AI Labs in Bengaluru after a multi-year R&D tenure at Accenture Labs. He has a strong research-to-production mindset, developing cloud and machine-learning PoCs, generative AI assets for industry teams, and contributing to multiple patents. Academically rigorous, he topped his MTech and is pursuing a PhD at IIIT Guwahati, blending deep technical research with applied engineering. Kaushik is also an active open-source contributor in algorithmic implementations, notably enhancing MATLAB/Octave ML algorithms such as K-Means in a widely used community repo. Known for translating emerging tech into client-facing solutions, he bridges academic insight and commercial impact across cloud and AI domains. His profile signals a rare combination of patent-level innovation, hands-on ML coding, and program management at scale.
11 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Indian Institute of Information Technology GuwahatiBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Royal School of Business / Royal School of engineering & Technology
Stackoverflow
755reputation
49kreached
20answers
2questions
pytorch
top-5%
deep-learning
top-5%
Github Skills (21)
algorithm10
algorithms10
k-means-clustering10
matlab10
machine-learning-algorithms10
octave10
data-visualizations9
pytorch9
machine-learning9
data-visualisation9
deep-learning9
data-visualization9
rdd6
cross-validation6
scikit-learn6
Programming languages (8)
Github contributions (5)
TheAlgorithms/MATLAB-Octave
Oct 2019 - Dec 2021
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 76 commits, 61 PRs in 2 years 2 months
Contributions summary:Kaushik contributed significantly to the implementation of machine learning algorithms within the MATLAB/Octave environment. This involved creating a K-Means clustering algorithm, including data loading, visualization, and centroid calculations. The user also refactored existing code, renamed files to improve clarity, and updated documentation. Furthermore, the user added and modified several mathematical functions, contributing to the overall algorithmic capabilities of the repository.
mit-licenseoctave-scriptsdevelopingdatastructuresmatlab
cozek/scikit-learn
Oct 2020 - Aug 2023
scikit-learn: machine learning in Python
Contributions:80 pushes, 3 branches in 2 years 11 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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