Shavva Satya Keerthi Reddy
+91-938******* **************@*****.*** GitHub LinkedIn Leetcode CodeChef Technical Skills
Frontend: HTML, CSS, JavaScript, ReactJS, TypeScript Backend: NodeJS, ExpressJS, MongoDB
Languages: Python, Java, SQL, Data Structures and Algorithms Experience
Software Developer Intern July 2024 – April 2025
Kodnest Bangalore, Karnataka, India
• Developed a responsive Placements Dashboard interface to display job statistics and opportunities clearly.
• Implemented tabs, search, and filters for smooth navigation across Eligible, Applied, and Rejected job lists.
• Designed consistent job cards showing skills, salary, location, and eligibility status.
• Ensured a clean, user-friendly UI optimized for clarity, accessibility, and efficient job browsing. Projects
AI Fitness Coach App Next.js, TypeScript, Google AI Studio API, CSS Live Demo May 2024 – Sep 2024
• Built an AI-powered fitness planning application using NextJS, TypeScript, and Tailwind CSS to generate personalized 7-day workout and nutrition programs.
• Integrated Google Gemini 2.5 APIs with strict JSON schema validation to ensure accurate, realistic, and structured fitness plans tailored to user goals and preferences.
• Implemented robust prompt engineering and safety checks to prevent incorrect or unsafe workout suggestions, improving reliability of AI-generated results.
• Developed a reusable UI component system (Buttons, Inputs, Selects, Modals) to maintain a consistent, scalable, and accessible design across the application.
• Added key product features including dark mode support, motivational quote generation, PDF export, and local-storage caching to enhance user experience and engagement. AI Flashcard Generator React.js, CSS, Express.js, Google AI Studio Live Demo Jan 2025 – May 2025
• Developed a full-stack AI-based flashcard generator leveraging Google AI Studio (Gemini API) to generate Q&A pairs from user-defined topics.
• Created a responsive and interactive UI using React.js and CSS for seamless user experience across devices.
• Built an Express.js backend to handle API communication securely and efficiently between the frontend and Google AI services.
• Implemented local storage caching to avoid redundant API calls for previously generated topics, improving performance and user speed.
• Structured the application with reusable components and modular code for easy scalability and maintainability. ACHIEVEMENTS AND PARTICIPATIONS
• Placed as runners-up in the college football competition, demonstrating strong teamwork and athletic skills.
• Secured a JEE Mains percentile of 93.351, with a rank of 71,626, and secured a rank of 8,319 in AP EAMCET
(2020).
• Accomplished the successful resolution of 200 coding problems across diverse platforms, with a 5-star rating in Python programming on HackerRank.
Education
Sagi Ramakrishna Raju (SRKR) Engineering College Vijayawada, Andhra Pradesh, India Bachelor of Technology in Information Technology(CGPA:8.29) Oct. 2020 – May 2024 Sister Stanislas Memorial English School Kurnool, Andhra Pradesh, India Central Board of Secondary Education(CBSE Marks:445/500) Aug. 2014 – May 2018