About

Hello! Varshith is final year undergraduate persuing B.Tech Computer and Communication Engieering from Manipal University Jaipur and currently interning as AI/ML Engineer at Teqsense Technologies.

He believes that humans aren’t born to perform repetitive tasks for their entire lives. Humans live their best lives when they love their work. To that end, He would like to be an expert in Machine Learning and Deep learning and keep himself on the cutting edge in the field of AI and total Analytical Space.

Feel free to look at his latest projects by clicking on below boxes

Macine Learning

Deep Learning

Data Analytics

Competitive Programming

Technical Content Writing

Courses
Projects and Publications
Monts Of Experience
Percentile Internationally

Skills

C/C++(STL)

70%

Python

80%

Machine Learning

85%

Deep Learning

85%

Data Analytics

70%

Big Data/Spark

55%

Git

75%

Java

50%

HTML/CSS

60%

Chatbot Building

60%

Work Experience

Teqsense Technologies AI/ML Engineer

At Teqsense, being an AI/ML Engineer I have got the opportunity to work on various state of the art technologies in Computer Vision, NLP and Chatbot building. I am involved in creation of models for Image content moderation, text content moderation, Predictive Analytics, Sales Forecasting etc.

BoMoTix Pvt Ltd. Machine Learning Intern

BoMoTix is a company which does Body Motion Analytics in sports videos like volleyball using Computer Vision. I have been working on various tasks related to Computer Vision and PyQt5 such as Object detection, 2D-pose estimation, 3D-pose estimation, object detection tool for Data generation and curation team more specific to the Volleyball game videos.

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November 2, 2017 | Machine Learning

What is Machine Learning and how Does it work?

PERSONAL BLOG

This blog describes the basics of Machine Learning and how does it work. It Deals with the basic terms of the Machine Learning and covers a bit about the Deep Learning..

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November 3, 2017 | MACHINE LEARNING

DECESION TREES

PERSONAL BLOG

In this tutorial, we will learn how Decision Trees work. It starts with the basics of the Decision trees like how the trees make decisions and how they are validated with an example..

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December 17, 2017 | MACHINE LEARNING

KNN: Instance based Learning

PERSONAL BLOG

Instance-based learning algorithms in Machine learning are the group of algorithms that, instead of performing explicit generalization, compares new problem instances with instances seen in training, which has been stored in memory. These are called instance based because, these constructs hypotheses directly from the training instances themselves.

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December 19, 2017 | MACHINE LEARNING

support Vector Machines

PERSONAL BLOG

Support Vector Machines(SVM) are supervised learning models with associated learning algorithms that analyze data used for both classification and regression analysis. Unlike Knn, SVM’s are efficient in both linear and non-linear classification..

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December 21, 2017 | MACHINE LEARNING

Computational Learning Theory

PERSONAL BLOG

Computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design and analysis of machine learning algorithms. Until now we are talked about specific algorithms for building classifiers i.e algorithms for doing learning..

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December 21, 2017 | MACHINE LEARNING

Neural Networks

PERSONAL BLOG

Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance on) tasks by considering examples, generally without task-specific programming. Artifical neural networks are capable of learning things from tasks like human neurons do. In this article, we are going to discuss basics about Artifical Neural Networks, as this subject comes under Deep Learning that we will discuss in later articles..

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December 23, 2017 | MACHINE LEARNING

Bayesian Learning

PERSONAL BLOG

Bayesian learning is this sort of fundamental Underlying assumption about what we’re trying to do with the machine learning. Bayesian inference is a method of statistical inference in which Bayes’ theorem is used to update the probability of a hypothesis as more evidence or information becomes available..

Contact

He is passionate individual who loves challenges. So, If you have any challenges, or an opportunity, or would simply like to stay in touch, feel free to contact me!

varshithchikku123@gmail.com

+91 9100761252

Hyderabad, Telangana

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