Hi, I'm Navaneethan

BCA Graduate

A dedicated Software Engineer with a strong background in Python, TensorFlow, and Computer Vision.

Contact me
Scroll down

About Me

My introduction

I am Navaneethan, a versatile Full Stack Developer with expertise in both front-end and back-end technologies. Holding a Bachelor of Engineering in Electronics and Communication, I am proficient in Python, C, and C++, and have mastered frameworks like Django and TensorFlow. My passion for technology, deep learning, and computer vision has driven me to develop robust, user-centric applications using tools like OpenCV, Keras, and Git. With practical experience from internships at JP Morgan Chase & Co and Hewlett Packard Enterprise, I excel in transforming complex business needs into efficient technical solutions. I am committed to continuous learning and innovation, thriving in collaborative environments where I can push the boundaries of software development.

8.5 Aggregate
CGPA
01+ Projects
04+ Months
experience
Download CV

Skills

My technical level

Programming Languages

Python

Java

JavaScript

TypeScript

IT Constructs

DBMS

DS & Algorithms

OOP

OS

Technologies

Git

MongoDB

NodeJs

NextJs

Qualification

My personal journey
Education

SSLC

S.M.S
High School
- 2019
View More

Class 10th Summary :

  • Subjects studied: Science, Maths, English, Social Studies,Tamil.

  • Scored 64%

  • Came runners up in inter-school Hockey

Class 12th

Jaigpal
Pre University College
- 2021
View More

Class 12th Summary :

  • Subjects studied: Commerce, Accountancy, Computer Application.

  • Scored 76.5%

College

Bharath University, Chennai
2021 - 2024
View More

College Summary :

  • Studying core subjects of IT including DSA, Embedded systems, Design analysis and algorithm, Operating systems, and Computer architecture .

  • Scored an aggregate of 8.50 CGPA.

Projects

Most recent work

Surveillance-Recognition

Surveillance-Recognition, is an advanced project designed to leverage deep learning techniques for comprehensive facial analysis in surveillance contexts. This system utilizes neural networks, such as Convolutional Neural Networks (CNNs), to detect and interpret facial features in real-time. It categorizes emotions, estimates age, and identifies gender based on facial expressions and characteristics. The system integrates these capabilities to enhance security and user interaction by providing nuanced insights into individuals' emotional states and demographics, making it a valuable tool for applications in security, retail, and customer service.

GitHub Repository
-->

Contact Me

Get in touch

Contact Me

9445159845

Email

Navaneethan1400@gmail.com

Location

Chennai, Tamil Nadu, India