Kovuru GnanaPrakash

Aspiring Software Engineer | Full-Stack & NLP Specialist
Sri City, IN.

About

Aspiring Software Engineer with a strong foundation in Full-Stack Development (MERN Stack) and advanced algorithms, evidenced by solving 300+ LeetCode/GFG problems across 20+ algorithmic topics. Proficient in C++, JavaScript, and Python, I excel at building secure, scalable applications and developing AI/ML solutions. My project experience includes optimizing backend APIs by 40% and enhancing UI/UX accessibility by 30%, positioning me to deliver high-impact technical contributions in a dynamic engineering environment.

Education

Indian Institute of Information Technology, Sri City
Sri City, Andhra Pradesh, India

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Bachelor of Technology

Electronics and Communication Engineering

Grade: CGPA: 7.74

Courses

Data Structures

Object-Oriented Programming

Computer Networks

Sri Chaitanya Junior College
Vijayawada, Andhra Pradesh, India

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Board of Intermediate Education

Intermediate Education

Grade: Percentage: 96.4

Certificates

Data Analytics Certification

Issued By

Cisco Networking Academy

DSA Course Certification

Issued By

Vamsi Bhavani

Skills

Languages

C, C++, Python, SQL, JavaScript, HTML/CSS.

Core Concepts

Algorithms, Data Structures, OOP (C++).

Frameworks

React, Node.js, WordPress.

Developer Tools

Git, MATLAB, Google Cloud Platform, VS Code, Arduino IDE.

Libraries

pandas, NumPy, NLTK, scikit-learn, Hugging Face Transformers.

Algorithmic Problem Solving

LeetCode, GeeksforGeeks, Competitive Programming.

Projects

Medical Chatbot - AI-Powered Health Query Assistant

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Summary

Developed an AI-powered medical chatbot utilizing Python, Flask, Hugging Face Transformers, and NLP for assisting with health-related queries.

EAMCET Prep Hub (MERN Stack)

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Summary

Developed a comprehensive full-stack platform leveraging MERN technologies (HTML, CSS, JavaScript, React, Node.js, MongoDB, RESTful APIs) to serve over 2,000 students preparing for EAMCET examinations, offering resources like previous year papers, a college predictor, and book recommendations.

Text Classification using NLP – Multi-Model Comparison

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Summary

Executed a multi-model NLP project (Logistic Regression, Random Forest, SVM) focused on text classification, involving extensive data preprocessing and feature engineering.