I got started with Machine Learning right after Engineering and I quickly fell in love with it. I maintain a blog where I document some of my thoughts and learnings

In my role as a Machine Learning Engineer, I have helped build everything from chatbots to object detection models for 360 degree panaromic images.

I love doing cool and challenging projects in my spare time, latest of which was an end to end project where I try and predict which fighter is gonna win in a UFC (Mixed Martial Arts) fight. It is now an interactive web app and you can try it out here. I scraped the data and created the dataset myself.

Projects

Selected Works

UFC Predictions

Machine Learning

Predicting who will win a UFC match based on cleaned, preprocessed and feature engineered data scraped from ufcstats.com

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Handgun Classification

Deep Learning

Image classification of the most popular handguns using Transfer Learning (with Resnet-34) based on images scraped from google images.

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Fashion MNIST

Deep Learning

Fashion MNISTified image classification using CNNs with Resblock/denseblocks, Batch normalization, weight decay and dropout in pytorch

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LivetoIdeate

Selected Posts

Skip Connections

deep learning

How skip connections revolutionized deep learning and allowed deep neural networks (Highway networks, Resnets, Densenets) to cross the 100 layer depth.

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Fast.ai lesson 7 notes

Deep Learning

This is the seventh lesson of the series and it covers intuition and implementation details of CNNs, U-nets, GANs, Feature losses and RNNs.

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Batch Gradient Descent

Machine Learning

Gradient Descent is the Algorithm behind the Algorithm. Batch Gradient Descent is probably the most popular of all optimization algorithms.

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