Hi there! I'm Rajesh
I'm Talagana Rajesh, a passionate web developer dedicated to building impactful and user-friendly websites. I specialize in React, Next.js and modern frontend technologies, and I'm constantly exploring AI and machine learning to integrate into web solutions.
When I'm not coding, I'm brainstorming new ideas, learning emerging tech, or helping others grow. I believe in consistency, curiosity, and leveling up every day.
I wake up each day excited to build something meaningful and work towards becoming a top developer!
Crafting Experiences
AUG 2023 - PRESENT
Full-Stack Developer
JUN 2024 - PRESENT
Problem Solver - DSA Enthusiast
JUL 2024
Computer Vision & Machine Learning Intern
AUG 2023 - PRESENT
Full-Stack Developer
As a passionate web developer, I specialize in creating responsive, accessible, and performance-optimized websites. My journey into full-stack development allows me to deliver impactful and real-world solutions. My focus is on mastering modern web technologies while making valuable contributions to various freelance and personal projects.
Developed 'GetMaterial' – a dynamic, user-driven notes-sharing platform for Nist students. The platform has gained popularity with over 120 notes uploaded within the first week of launch, promoting collaboration and knowledge sharing.
Built 'Lemon Studio' – a creative portfolio website for a dubai based photography studio. The platform showcases services, previous work, and provides a sleek, professional user experience, leveraging modern design principles and technologies.
Created 'AgroVision' – an AI-powered crop disease detection platform that connects farmers with actionable insights. Using Python for backend AI modeling and React for the frontend, this platform serves as a valuable tool for agriculture, empowering users to detect diseases and take preventive actions.
Developed a platform allowing users to engage in anonymous chats, featuring real-time messaging and AI-powered replies for dynamic conversations. The platform supports threaded discussions for better organization and includes a safe moderation system to ensure healthy interactions. Additionally, Cloudflare integration enhances security and optimizes platform performance.
Developed a website for Web Cros, an agency offering services like website development and SEO. The site showcases their services and projects, with an intuitive interface for easy client communication, built using modern JavaScript frameworks for performance and scalability.
Utilized cutting-edge web technologies such as React, TypeScript, Next.js, Tailwind CSS, and Vercel to build modern, scalable, and responsive web applications.
JUN 2024 - PRESENT
Problem Solver - DSA Enthusiast
I actively solve Data Structures and Algorithms (DSA) problems on GeeksforGeeks, utilizing Java and Python to enhance my problem-solving skills. This practice helps me build a strong foundation in coding, algorithm design, and data structures, which are crucial for technical interviews and real-world applications.
Solved multiple DSA problems on GeeksforGeeks using Java and Python, focusing on topics such as arrays, linked lists, trees, dynamic programming, and graph algorithms.
Sharpened problem-solving skills by regularly participating in coding challenges and improving algorithmic efficiency to solve complex problems within time constraints.
Gained proficiency in optimizing code for better performance and memory utilization, ensuring that solutions are not only correct but also efficient.
JUL 2024
Computer Vision & Machine Learning Intern
Completed an internship in AI and computer vision with a focus on developing deep learning models for real-world applications. The project, centered around English alphabet detection, involved collaborating with a team to implement and optimize an AI-based solution using Python and machine learning techniques.
Led the development of the 'Predictions and Visualization' module, which enabled real-time predictions and visualized AI model performance through graphical representations.
Utilized Python, OpenCV, and machine learning libraries to build a custom alphabet detection model capable of recognizing and classifying handwritten characters.
Successfully presented the project to faculty, showcasing end-to-end model development, from data collection and preprocessing to model evaluation and deployment.