GSD

Guna Sekhar Devineni

>Pioneering Tomorrow's Technology

AI • Quantum Computing • Neural Networks • Innovation

Artificial Intelligence

Quantum

Computing

Neural

Networks

Innovation

Future Tech

Passionate AI/ML Engineer with a solid foundation in Computer Science and hands-on experience building deep learning, speech recognition, and computer vision solutions. Proficient in frameworks like TensorFlow, PyTorch, and Keras, with a track record of applying AI to real-world challenges such as low-resource language ASR and weather classification. Eager to contribute to innovative AI/ML projects while continuing to grow expertise in developing scalable and intelligent systems.

Neural Link

sdevineni3@gmail.com

Quantum Call

+91-9392813628

Skills Network

Programming Languages

Python

C/C++

Java

JavaScript

SQL

AI/ML & Data Science

TensorFlow

PyTorch

Keras

Scikit-learn

SciPy

NLP (ASR, Speech Recognition)

Computer Vision

Transfer Learning

Feature Engineering

Model

Data Handling & Visualization

Pandas

NumPy

Matplotlib

Data Wrangling

Statistical Analysis

Web Development

MERN Stack (MongoDB, Express.js, React.js, Node.js)

RESTful APIs

Socket.IO

State Management

Cybersecurity

Penetration Testing

Digital Forensics

Steganography

Network Security

Vulnerability Assessment

Information Security Principles

Security & Authentication

JWT Authentication

Role-based Access Control

Secure Application Development

Development Tools & Practices

Git

GitHub

Postman

Unit Testing

Agile Development

Core Computer Science

Data Structures & Algorithms

Object-Oriented Programming

Database Management Systems

Operating Systems

Computer Networks

Compiler Design

Data Analysis

Projects Lab

Telugu Automatic Speech Recognition using Wav2Vec2.0 and Whisper

Created a robust ASR system for Telugu utilizing Wav2Vec2.0 and Whisper. The system processed 6 Hours of audio data to generate a training dataset that significantly enhanced overall model performance.

Wav2Vec2.0Whisper

Weather Classification System

Developed an image-based weather classification system leveraging a pre-trained VGG19 model, fine-tuning the architecture by freezing convolutional layers and integrating custom dense layers to enhance classification accuracy.

VGG19TensorFlowKeras

Pets Reunite Hub

Developed a full-stack MERN application designed to help reunite pet owners with their lost companions by enabling seamless interaction and secure data management.

MERN StackSocket.IOJWT Authentication

Education Base

Computer Science specialization in Information Security

Vellore Institute of Technology, Vellore, Tamil Nadu

In Progress

GPA: 7.92

Certifications Credentials

Smart Bridge Artificial Intelligence and Machine Learning in collaboration with Google

Verified Credential

Ethnus MERN Stack Certification

Verified Credential