Ankit Paliwal
Senior Engineer at Qualcomm
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAnkit Paliwal is a Senior Engineer at Qualcomm with nine years of software experience and over two years focused on modem test engineering using Python and Perl. He holds a Master’s in Machine Intelligence and applies ML and deep learning tools (Scikit-learn, TensorFlow, Keras, OpenCV) to real-world problems spanning NLP and computer vision. His projects include personalized news feeds, 8x image super-resolution, and topic categorization for Amazon reviews, and he actively competes on Kaggle and writes technical blogs—one highlighting visualization for debugging neural networks. Based in Hyderabad, he blends production-focused testing expertise with hands-on ML research, making him comfortable moving models from experimentation toward deployment. Colleagues value his curiosity and the uncommon combination of embedded/modem testing skills with practical ML engineering.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at DR. K.N. MODI INSTITUTE OF ENGINEERING AND TECHNOLOGY, MODINAGAR, GHAZIABADMaster’s Degree, Machine Intelligence, Master’s Degree, Machine Intelligence at Dhirubhai Ambani Institute of Information and Communication Technology
Stackoverflow
156reputation
23kreached
16answers
2questions
Github Skills (36)
convolutional-neural-networks10
mnist10
benchmark9
visualization9
python9
machine-learning9
tensorflow9
neural-network9
deep-learning9
keras9
unity3d9
convolution9
computer-vision8
deep-reinforcement-learning8
reinforcement-learning8
Programming languages (4)
Github contributions (5)
anktplwl91/visualizing_convnets
Sep 2018 - Jun 2019
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
Contributions:7 commits, 5 pushes, 1 branch in 8 months
convolutionvisualizationsconvolutional-neural-networksvisualizationinceptionv3
anktplwl91/pytorch
Jun 2018 - Jun 2018
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:1 push in 1 day
pythongpu-accelerationdeep-learninggpuacceleration
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