Intro
I'm a Data Scientist based out of Bangalore, India that loves to
learn and create things that live on the internet! I believe that we
can use what we love to do to help others and make the world a
better place, and I choose to do that through code. I am skilled in
Python, C, SQL, Tensorflow & Pytorch. You can check out my check out
my Awesome work. Check out my work and feel free
to reach out!
I believe in giving it back to the society. I organize sessions at
Tensorflow Usergroup Bangalore
as an Organizer. I also write blogs on
Medium, run an
AI/ML & Quantum Instagram Page
and
Podcast.
I love to learn new things, currently I am exploring VFX and
Animation as a hobby. You can check my
Portfolio.
Work
Deep-Learning-for-Vision-Using-Tensorflow-Keras (GitHub
)
This repository is about applied Deep Learning concepts in the
domain of vision from the basics to the very advance.
KSP-IPH-2019-table30 (GitHub
)
Problem Statement of All India Police Hackathon:
Find the photo of a missing person from police database or string of
other official databases or some social media platforms and internet
in general. Your task is to develop an App to capture a photo and
search for the same in official databases using an optimized facial
recognition algorithm.
KSP-IPH-2019-table30 (GitHub
)
Problem Statement of All India Police Hackathon:
Find the photo of a missing person from police database or string of
other official databases or some social media platforms and internet
in general. Your task is to develop an App to capture a photo and
search for the same in official databases using an optimized facial
recognition algorithm.
Extensive Python for AI (GitHub
)
This contains all the advance concepts in python required for
Machine Learning and Artificial Intelligence
10 Days of ML Challenge (GitHub
)
This contains the solution for questions I solved which were posted
in this challenge. It was a 10 Day event, everyday new problems were
hosted targetting a new concept and segment of Machine Learning.
Blog
The Need and Types of Activation Function - Dec 24th, 2021
Hello World!!! In this blog I will talking about the activation
function, their need and their types
Quantum Machine Learning 102 — QSVM Using Qiskit - Sept 23th, 2020
As part of the peer learning series, Quantum Computing India had a
session on Quantum Machine Learning 102 — QSVM hosted by me. Here’s
a quick log of the session. In the end, you will find full video
link.
Quantum Machine Learning 101 - Aug 23th, 2020
As part of the peer learning series, Quantum Computing India had a
session on Quantum Machine Learning 101 hosted by me. Here’s a quick
log of the session. In the end, you will find full video link.
Basic of Deep Neural Networks In Vision - Jul 18th, 2020
This blog is an introduction to the basics of Deep Neural Networks.
There is a buzz of AI, have you wondered how they work. I will be
covering everything in depth in AI in Vision, so lets get started
with basics, this blog will give you an intuition about kernels,
channels and training of DNN
Profiling Keras Model Using TFprofile and CProfile - Nov 29th,
2019
While exploring some challenges in Machine learning I stumbled upon
a challenge by Stanford called the Dawn Benchmark. This Challenge
was to get 94% of test accuracy in the least amount of training time
and cost. There are three challenges to this problem: Getting the
model right(Being Accurate), in the record time(Being Fast) and with
the limited cost(Being Efficient). Here i will be showing the
approach on how to be fast.
36 Hours of Incredible India Police Hackathon 2019 - Nov 20th,
2019
Hackathon — The best 36 hours of my life. In this blog I have shared
my experience in an attempt to motivate people for putting efforts
in making the world a better place.
India Police Hackathon
2019 is a great initiative taken by Indian Police organized by
Karnataka State Police and co-hosted by RV College of Engineering.
Sentimental Analysis using Rule Based Approach(Text Blob) over
Twitter Data - Nov 18th, 2019
This Article is the tutorial Blog series of Sentiment Analysis which
deals with Rule Based Approach to find sentiments over twitter data.
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