About
Experience & Education
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Stealth Startup
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Publications
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Modern computer vision with PyTorch
Packt
One of the most comprehensive Computer Vision books available in 2021.
Ranked among the top PyTorch books to read.
Covers from the basics & the implementation of neural networks from first principles to image classification, transfer learning, object detection, object & instance segmentation, auto-encoder variants, image generation using VAE & GANs, advanced GANs, combining computer vision with NLP & RL, moving a model to production.Other authors -
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Neural Networks with Keras cookbook
Packt
See publicationBook covering a breadth of deep learning techniques across image, text, audio, and game bots from first principles.
The techniques covered include - CNN, image classification, object detection, image segmentation, auto encoders, word2vec, RNN, LSTM, CTC loss, Seq2Seq architecture, attention mechanism, Deep Q-value with use cases across machine translation, chatbot, Atari game playing, handwriting recognition (OCR), audio transcription, Image caption generation, segmentation of cars in a…Book covering a breadth of deep learning techniques across image, text, audio, and game bots from first principles.
The techniques covered include - CNN, image classification, object detection, image segmentation, auto encoders, word2vec, RNN, LSTM, CTC loss, Seq2Seq architecture, attention mechanism, Deep Q-value with use cases across machine translation, chatbot, Atari game playing, handwriting recognition (OCR), audio transcription, Image caption generation, segmentation of cars in a street view, recommender systems in retail. -
Pro Machine Learning algorithms
Apress
See publicationA widely read book that implements all the major ML algorithms from first principles (Linear, Logistic regressions, Decision tree, Random Forest, GBM, Neural Networks, CNN, RNN, LSTM, Recommender systems, PCA & Clustering).
This book is used as a reference book in the predictive analytics course of HSE, Russia. -
Hands-On Machine Learning on Google Cloud Platform
Packt
Implementing smart and efficient analytics using Cloud ML Engine.
I have worked on detailing the cognitive solutions in GCP as well as implementing neural networks from scratch.Other authors -
Patents
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Systems, apparatuses & methods for stabilizing a user’s body during detected fall events (2)
Filed US US17248862
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Machine learning models for multi-risk-level disease spread forecasting
Filed US US17002232
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Predictive document conversion
Filed US US16999221
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Overlap-aware optical character recognition
Filed US US17201778
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Anomalous text detection and entity identification using exploration-exploitation and pre-trained language models
Filed US US17248862
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Weighted Adaptive Filtering based loss function to predict the first occurrence of multiple events in a single shot
Filed US US16928616
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Automated systems & methods to identify fields of interest within a document image (2)
Filed US US16710854
Languages
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English
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Telugu
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Hindi
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