I am Tharun K

Name: Tharun K

Age: 19

Profile: ML&DL Developer

Email: tharunkkumarasamy@gmail.com

Phone: +91 7871941011

About me

I am Tharun, a dedicated third-year student pursuing a BE in Electronics and Communication Engineering at KPR Institute of Engineering and Technology. With a strong drive and enthusiasm, my focus lies in the fields of machine learning, deep learning, and backend development. I am eager to engage in collaborative opportunities and work together with others to achieve mutual growth and success.

Education

B.E

I am currently pursuing my B.E degree in Electronics and Communication from KPR Institute of Engineering and Technology, Coimbatore.

HSC

I completed my HSC from Kongu Vellalar Matriculation Higher Secondary School, Coimbatore with 92.5 % in 2021.


SSLC

I completed my SSLC from Kongu Vellalar Matriculation Higher Secondary School, Coimbatore with 91 % in 2019.


Services

Machine Learning

Deep Learning

Backend Development

Problems solved+

Github Repo's

Internships

Katomaran Technologies

As an ML Engineer Intern, I contributed to groundbreaking projects, developed innovative models, and collaborated with a talented team to drive real-world impact.

WEC AI

As an Associate Consultant Intern,where I've played a significant role in developing innovative models. My collaboration with a talented team has resulted in tangible real-world impact through my work in the field of Artificial Intelligence and machine learning.

CloudZoo Private Limited

During my internship, I spearheaded the design and implementation of a cutting-edge sales predictive analysis system, enabling the company to make data-driven decisions.

Project

Custom Documentation Chatbot

It's an end to end Deep Learning model built using NLP where user can communicate with their own documents

Potato Leaves Disease Classification

Deep Learning model which is build using Convolutional Neural Network(CNN) to predict the disease of leaves

Book Recommendation using Collaborative Filtering

Developed a book recommendation model using collaborative filtering and this model uses data from user ratings to generatepersonalized book recommendations for users.

Fake News Detector

It's an end to end Machine Learning model which predicts the news whether true or fake