Vaibhav Bagga
Engineering Lead at Persistent Systems
Delhi, India
Summary
👤
Senior🎓
Top SchoolVaibhav Bagga is an Engineering Lead and machine learning specialist with 8 years of experience building production ML systems across computer vision, NLP, and data pipelines. He has progressed through roles at Netomi, American Express, Expedia Group, and Roadzen before joining Persistent Systems, bringing a track record of deploying intent-classification and real-world ML solutions. A DTU graduate in Mathematics and Computing, he blends strong theoretical foundations with practical engineering practices to drive reliable, scalable models. Known for moving models from research to production, he balances hands-on coding with mentorship and architecture-level decisions. Based in Delhi, he combines enthusiasm for ML research with pragmatic product-focused delivery.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Mathematics and Computer Science, Bachelor of Technology Mathematics and Computer Science at Delhi Technological University
Stackoverflow
33reputation
999reached
0answers
1question
Github Skills (41)
iris-dataset9
random-forest8
feature-engineering8
rubiks-cube7
classifier7
nlp6
machine-learning6
python6
pandas6
crossword6
word2vec6
k-means-clustering6
modeling5
analyzer5
cracking4
Programming languages (5)
Github contributions (5)
vaibagga/iris_classifier
Oct 2017 - Sep 2019
Classifier for the iris dataset using scikit-learn
Contributions:5 commits, 2 PRs, 3 pushes in 1 year 11 months
iris-datasetxgboostpythonclassifierdata-science
vaibagga/chess-prediction
Feb 2018 - Oct 2021
Contributions:4 commits, 3 pushes, 1 branch in 3 years 8 months
feature-engineeringmachine-learningpythonrandom-forest
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