Vignesh Eligeti

Backend Developer • Machine Learning Engineer • Fullstack Developer

As a computer science student, I am eager to explore challenging opportunities in the tech sector. I have completed projects in machine learning and web development, and seek a role to grow professionally and contribute to technology advancements.

Profile Photo

Projects

SAMAM

Utilizes Machine Learning to predict a range of mental disorders and assess various character traits. Technologies used: Python, Flask, Machine Learning algorithms.

GitHub Live Demo

Medi-Search

Analyzes historical data to predict suitable medical colleges based on users' ranks. Technologies used: Flask, Machine Learning algorithms.

GitHub

Task Manager

Helps users manage tasks effectively by assigning priorities to enhance productivity. Technologies used: React (frontend), Node.js (backend).

GitHub

Privacy Chat

PriChat is a privacy-focused chat application that uses message encryption and facial recognition to ensure secure and private conversations.

GitHub

Stock Market Prediction

Developed a stock market prediction model using historical data and machine learning algorithms to predict future stock prices.

GitHub

RITA

RITA (Responsive Intelligent Tech Assistant) integrates deep learning, computer vision, Python, and NLP to enhance data analysis and user interaction seamlessly.

GitHub

Skills

HTML & CSS

JavaScript

React.js

Node.js

Python

Java & OOPS

Deep Learning

Data Structures & Algorithms

TensorFlow

Kubernetes

MySQL & SQL

R Programming

PostgreSQL

Numpy and Pandas

DevOps

Education

B.Tech, Computer Science Engineering (CSE)

CMR College of Engineering & Technology, Hyderabad

2021 - 2025 | CGPA: 8.2

Class XII

Sri Chaitanya Junior College, Hyderabad

2020 - 2022 | CGPA: 9.38

Secondary School Certificate (SSC)

T.S.R. School (Boys), Pochampad

2013 - 2019 | GPA: 9.3

Certifications and Courses

Full Stack Web Development

Proficient in HTML5, CSS3, JavaScript, React.js, Node.js, and SQL. Equipped with full-stack web development skills for real-world applications.

Date Achieved: November 2023

TensorFlow

Completed TensorFlow 2.0 course by Lazy Programmer Inc., covering deep learning (NNs, CNNs, RNNs, GANs) and model deployment. Developed practical AI projects like stock trading bots and image classifiers.

Date Achieved: May 2024

Intro to Machine Learning

Completed the "Intro to Machine Learning" course on Kaggle, covering model construction, data exploration, validation techniques, and advanced algorithms like Random Forests.

Date Achieved: April 2023

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