Devendra Naidu

Possesses versatile skills with hands-on experience in emerging technologies and passion for continuous improvement. Skilled in identifying opportunities for technological enhancements and implementing effective solutions. Adept at leveraging new tools and methods to solve problems and enhance productivity. Excels in adapting to fast-paced environments and driving technological advancements.

• UniResume (React, Next.js, Firebase, Google Cloud, Gemini): Developed an AI-powered resume builder to generate optimized, ATS-compliant resumes; deployed live and utilized by university students. Implemented Firebase for backend services and real-time data management.(uniresume.app)
• Weels App (Next.js, React): Built a dynamic web app for exploring and filtering high-quality Wikipedia articles with infinite scroll and category selection. (www.weels.info)
• Catalog Scoring Platform (Python, Flask, MongoDB): Created a scalable web app to score product catalogs for e-commerce apps.
• Phishing Detection System (Python, Flask, ML): Developed a phishing website detection model with real-time backend integration.
• Fling (Next.js, React, TypeScript, Tailwind ,Firebase):a real-time anonymous matching and chat application designed specifically for university students. It enables students to connect with others who share similar interests while maintaining their privacy.
• Facial Recognition Attendance (Python, OpenCV): Automated attendance tracking with real-time facial detection and database logging.
• Text Extraction Tool (Python, ChatGPT): Analyzes screenshots by extracting text using OCR and providing insights via ChatGPT.
• AI Marketing Image Generator (Flask, Tailwind): Web application that generates marketing images based on user input using OpenAI's DALL-E model.
• Remote Cars (Raspberry Pi, C, Python): Built a line-following and obstacle avoidance system with web-based controls.
• Local Store Website (HTML, CSS, JavaScript): Built a responsive website featuring product listings and contact forms.