Puneetha Pai
SWE ML III at Google
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolPuneetha Pai is a Machine Learning-focused software engineer with 9 years of experience who progressed from application development to senior ML roles at ThoughtWorks and now Google, blending production-grade engineering with strong ML theory. He prefers hands-on, practical solutions—evidenced by contributions to the EmoPy facial expression recognition toolkit where he improved data augmentation, training generators, and test coverage. A generalist at heart, he combines developer rigor with data-science instincts to ship reliable ML systems and mentors peers while actively contributing to the DS community and open source. Academically grounded with top grades in an MTech in Machine Learning and an ECE bachelor’s, he’s based in Bengaluru and known for turning research-minded ideas into pragmatic, testable implementations.
9 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech, Machine Learning and Data Science, 9.5, Master of Technology - MTech, Machine Learning and Data Science, 9.5 at BITS Pilani Work Integrated Learning ProgrammesBachelor's degree, Electrical, Electronics and Communications Engineering, 9.36, Bachelor's degree, Electrical, Electronics and Communications Engineering, 9.36 at Sri Jayachamarajendra College of Engg., MYSORE
English, Kannada, Konkani, Hindi
Stackoverflow
87reputation
1kreached
2answers
2questions
Github Skills (18)
convolutional-neural-networks10
python10
imagedatagenerator10
machine-learning10
keras10
deep-neural-networks10
neural-network10
computer-vision10
data-augmentation10
testing9
neo4j6
mlops6
defaultdict6
dvc6
networkx6
Programming languages (6)
Github contributions (5)
thoughtworksarts/EmoPy
Jan 2018 - Feb 2018
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 3 PRs in 1 month
Contributions summary:Puneetha focused on enhancing the `emopy` toolkit, a deep learning framework for emotion analysis via facial expression recognition. Their contributions include implementing a `DataGenerator` class for data augmentation, enabling the creation of training and testing data generators. They also added a `fit_generator` method to the `ConvolutionalNN` and `TimeDelayConvNN` models, improving the training process. Furthermore, the user added tests and refactored the `ImageDataGenerator` class for image transformations and resizing functionality, improving the efficiency of the model.
pytorchemotion-recognitionfacial-expression-recognitionemotionpython
PuneethaPai/dvc_session
Apr 2020 - Jul 2020
Sample ML project with DVC pipelines
Contributions:36 commits, 3 PRs, 39 pushes in 2 months
ml-projectdata-sciencecmlmachine-learningmlops
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