Welcome to My Portfolio

I'm Gajjala Pragnesh Reddy, an

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About Me

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Aspiring AI Engineer eager to apply machine learning expertise to develop innovative solutions. Passionate about solving complex problems and driving technological advancements. Committed to contributing to a dynamic team and delivering impactful results.

Projects

Medica
Medica - A Smart Medical Website

Built a smart medical website featuring AI tools like medicine classification, WellBot (AI assistant), and AI-based medical documentation. Includes pharma e-commerce and appointment booking. (MongoDB Atlas, ReactJS, NodeJS, Express)

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Secure Stego
Secure Stego Image Sharing Web App

A secure image messaging app using deep learning-based steganography with user auth, stego image transfer, and admin control. (PyTorch, React, Flask, SQLite)

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Lung Cancer Classification
Lung Cancer Classification

Developed a Flask-based web application to predict lung cancer risk using an XGBoost model, featuring user-friendly, robust input validation, and a visually appealing interface with feature importance visualization. (Python, Flask, Machine Learning)

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Skills

Python Python
React.js React.js
Machine Learning ML
Node.js Node.js
SQL SQL
HTML/CSS HTML/CSS/JS
MongoDB MongoDB
Deep Learning DL
Deep Learning ExpressJS

Objective

Aspiring AI Engineer passionate about integrating AI with full-stack web development. Aiming to build intelligent, scalable, and user-focused applications by combining machine learning, deep learning, and modern web technologies to solve real-world problems.

Experiences

Web Development Intern
TechSonIx, May 2025 - Present

Performing various assessments using HTML, CSS, JavaScript, and Bootstrap. Gaining hands-on experience in developing web applications.

Achievements

SAP Hackfest Regional Round Winner

Won the regional round of the SAP Hackfest, showcasing innovative problem-solving idea.

Competitive Coding

Solved 200+ coding problems on platforms like LeetCode and HackerRank.

IEEE Xtreme Competition

Participated and scored 900 points in the IEEE Xtreme competition.

Tredence Hackathon Qualifier

Qualified as one of the final round teams in the Tredence Hackathon from my institute.

Publication

Published a conference paper titled "Comparative Analysis of Machine Learning, Deep Learning, and Statistical Models on Credit Risk Prediction" on IEEE Xplore (DOI: 10.1109/AIDE64228.2025.10987509) on 12th May 2025.

Certificates

Data Science for Engineers

Issued by IIT Madras on Oct 2024.

Python for Data Science and Machine Learning Bootcamp

Issued by Udemy on Jul 2024.

The Complete Python Bootcamp from Zero to Hero

Issued by Udemy on Feb 2024.

Python Data Structures and Algorithms

Issued by Infosys on Aug 2024.

Education

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