Ghanshyam Chodavadiya
ML & Data
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolGhanshyam Chodavadiya is an ML and Data leader with nine years of experience building and scaling deep learning systems across audio, vision, and NLP domains. He has led teams and infrastructure at startups and product companies, delivering production ML pipelines that handle thousands of hours of audio daily and full CI/CD monitoring for deployed models. His work spans end-to-end productization—from dataset engineering and novel model architectures to asynchronous Python tooling and distributed systems that accelerate ML teams. Notable projects include multi-model ad-detection and ad-spend analysis, 3D-like style transfer tech acquired pre-launch, and an AI search engine for dynamic analytics. A passionate open-source contributor, he publishes tooling to simplify ML engineers’ workflows and documents his work at cg1507.github.io. Based in Philadelphia, he blends hands-on research with product strategy to turn complex ML research into revenue-driving features.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Gujarat Technological University (GTU)
Gujarati, Hindi, English
Stackoverflow
16reputation
943reached
1answer
0questions
Github Skills (15)
tensorboard10
google-colaboratory10
transfer-learning9
keras9
image-classification7
opencv6
deep-learning6
tensorflow6
python6
chatbot2
conversation2
seq2seq1
pandas1
data-science1
data-analysis1
Programming languages (1)
Github contributions (5)
CG1507/quickcnn
Dec 2018 - Dec 2018
QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.
Contributions:77 commits in 7 days
bottleneck-featurescnn-trainingconvolutional-neural-networkdeep-learningfine-tuning-cnns
CG1507/nlp_elasticsearch
Aug 2020 - Sep 2023
Contributions:5 pushes, 1 branch in 3 years 2 months
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