Udit Dixit
Machine Learning Engineer at Kimberly-Clark
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolUdit Dixit is a Machine Learning Engineer based in Bengaluru with 10 years of experience building production-ready AI systems across enterprise and consumer domains. He combines strong foundations in Python and R with hands-on expertise in NLP, cognitive search, deep learning (Keras/TensorFlow, PyTorch), and computer vision including optical flow and pose estimation. At Kimberly-Clark he works on applied ML solutions, drawing on prior roles at Sony and Software AG where he developed CNNs, RNNs, GANs, transfer learning pipelines and contributed to the nyoka project. Comfortable from data ingestion and preprocessing to modeling and deployment, he also leverages Elasticsearch and SQL for scalable search and analytics. Collected experience in image processing and statistics gives him an edge in turning noisy, real-world data into reliable predictive systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Biju Patnaik University of Technology, Odisha
Github Skills (19)
decomposition10
statsmodels10
pmml9
python8
lightgbm8
xgboost7
machine-learning7
package7
scikit-learn7
bundle7
cffi6
revit-api6
pyinstaller5
data-science5
freeze4
Programming languages (1)
Github contributions (4)
ukdixit/Hello-world
Apr 2016 - Aug 2018
Contributions:2 PRs, 2 pushes, 5 branches in 2 years 4 months
SoftwareAG/nyoka
Aug 2018 - Sep 2018
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Contributions:11 commits, 5 pushes in 8 days
python-libraryxgboostml-modelspythonexport
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