KONDA PRANAVI

Aspiring Software Development Engineer

Hyderabad, IN.

About

Highly motivated and results-driven Computer Science student with a strong foundation in full-stack web development, machine learning, and core computer science fundamentals. Eager to leverage proven problem-solving abilities and experience in developing scalable applications and intelligent systems to contribute to innovative projects at Amazon. Adept at building robust solutions from scratch and thriving in fast-paced, ambiguous environments.

Work

pantech.ai

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Full Stack Web Development Intern

Hyderabad, Telangana, India

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Summary

Developed and optimized full-stack web applications, integrating advanced state management to enhance user experience and application scalability.

Highlights

Architected and developed two robust full-stack web applications, utilizing HTML, CSS, JavaScript, React.js, and SQL, to deliver comprehensive user experiences.

Enhanced application functionality and user engagement by implementing key features across multiple modules, directly impacting user interaction flows.

Engineered robust state management solutions using Context API and Redux, significantly improving application performance and ensuring scalability for dynamic user interactions.

Education

Institute of Aeronautical Engineering

Hyderabad, Telangana, India
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Bachelor of Technology Computer Science and Information Technology Grade: 8.00 CGPA

Courses

Data Structures and Algorithms

Object-Oriented Programming (OOPS)

Computer Networks

Operating Systems

Vijay Rural Engineering College

Nizamabad, Telangana, India
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Diploma Civil Engineering Grade: 9.45 CGPA

Languages

English

Telugu

Hindi

Certificates

Python Essentials 1

Cisco

AI for beginners

HP LIFE

Computer Vision 101

Infosys

Skills

Programming Languages

Python, Java, HTML, CSS, JavaScript, SQL.

Web Technologies & Frameworks

React.js, Node.js, Flask.

Developer Tools

Visual Studio Code (VS Code), Git, GitHub.

Machine Learning & AI

OpenCV, YOLOv8, Random Forest, XGBoost, LSTM, CNN, SHAP, Machine Learning, Deep Learning, Computer Vision.

Core Computer Science

Data Structures, Algorithms, Object-Oriented Programming (OOPS), Computer Networks, Operating Systems, Object-Oriented Design, Algorithm Design, Problem Solving, Complexity Analysis, Distributed Systems, Scalable Systems, Relational Databases, Multi-tiered Systems.

Projects

Sky Shield – Real-Time Object Detection System

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Summary

Developed an innovative real-time object detection system designed for advanced surveillance and safety applications.

Hybrid ML & DL Framework for Diabetes Risk Prediction

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Summary

Designed a comprehensive hybrid machine learning and deep learning framework for early diabetes diagnosis and risk stratification.