Jeevitha AR

Next.js Developer at Lentra Technologies Pvt. Ltd

Developed cross-platform desktop and web apps with Electron.js and Next.js. Built desktop and web interfaces; implemented real-time reload and packaging into Windows executables.

Next.js Developer at Lentera Technologies Pvt. Ltd

Developed cross-platform desktop and web applications using Electron.js and React.js; built Ticketgo (desktop) and Ticketzee (web); implemented real-time reload and generated Windows executable packages.

Next.js Developer at Lentra Technologies Pvt. Ltd

Developed cross‑platform desktop and web applications using Electron.js and Next.js. Built TicketGo (desktop) and Ticketzee (web) with real‑time reload and Windows executable packaging. Collaborated across teams to implement features using React.js, Node.js, and REST/API integrations; leveraged Figma for UI/UX alignment.

Next.js Developer at Len tera Technologies Pvt. Ltd

Developed cross-platform desktop and web apps using Next.js and Electron.js. Built Ticketgo (desktop) and Ticketzee (web). Implemented real-time reloading and packaged Windows executables. Collaborated on UI/UX with React.js, Node.js, and REST APIs.

Next.js Developer at Lentera Technologies Pvt. Ltd

Developed cross-platform desktop and web applications using Electron.js and Next.js. Built desktop app Tick go and web app Tick etzee integrating real-time reload features and generated Windows executable packages. Utilized technologies: Next.js, Electron.js, Node.js, React.js, Figma, FastAPI, JavaScript.

Next.js Developer at Lentera Technologies Pvt. Ltd

Developed cross-platform desktop and web applications using Electron.js & Next.js. Built Tickgo (desktop) and Ticketzee (web) applications integrating real-time reload and generated Windows .exe packages. Technologies used included Next.js, Electron.js, Node.js, React.js, Figma, FastAPI and JavaScript.

Intern at Lentera Technologies Pvt. Ltd

Developed cross-platform desktop and web applications using Electron.js and Next.js, including applications named Tickgo (desktop) and Ticketzee (web). Integrated real-time reload features and generated Windows .exe packages. Utilized technologies such as Next.js, Electron.js, Node.js, React.js, Figma, FastAPI, and JavaScript.

Deep Learning Model Developer at Pantech eLearning

Developed a deep learning model involving data preprocessing, model architecture design, and training using datasets. Leveraged techniques such as CNNs, RNNs, and fine-tuning to enhance model performance and accuracy. Utilized Python, TensorFlow, and Jupyter Notebook for project execution.

Deep Learning Intern at PantheTech Learning

Developed a deep-learning model; data preprocessing, model architecture design, and training using datasets; leveraged CNNs and fine-tuning to improve accuracy.

Deep Learning Developer (Intern) at Pan Tech-Learning

Developed a deep-learning model; performed data preprocessing, model architecture design, and training using datasets; leveraged CNNs, RNNs, and fine-tuning to improve performance.

Deep Learning Intern at Pantech Learning Pvt. Ltd

Developed a deep-learning model, performed data preprocessing, designed architectures, and trained using datasets. Implemented CNNs and evaluated performance using Python, TensorFlow/PyTorch.

Deep Learning Developer at Panteche-Learning

Developed a deep learning model involving data preprocessing, architecture design, and training using datasets. Leveraged CNNs, RNNs, and fine-tuning techniques to enhance model performance and accuracy using Python, TensorFlow, and Jupyter Notebook.

AI Developer / Data Scientist (Project) at Panteche-Learning

Developed a deep-learning model involving data preprocessing, model architecture design, and training using datasets. Leveraged CNNs, RNNs, and fine-tuning to improve model performance and accuracy. Technologies included Python, TensorFlow, and Jupyter Notebook.

Intern at Pantech e-Learning

Developed a deep learning model using Python and TensorFlow with CNN and RNN architectures to improve accuracy in application domains relevant to e-learning.

Full Stack Developer Intern at Full-Stack Development Course

Gained front-end and back-end development experience collaborating on responsive eCommerce web designs. Designed and implemented responsive web applications using HTML, CSS, JavaScript, React.js, Node.js, and databases.

Full Stack Development Trainee at Full-Stack Development Bootcamp

Gained front-end and back-end development experience collaborating on responsive eCommerce web designs. Designed and implemented responsive web applications using HTML, CSS, JavaScript, React.js, Node.js, and databases.

Frontend Web Developer at Hazzino Technologies

Developed responsive eCommerce web designs to ensure seamless user experiences across devices and browsers. Collaborated with design teams to convert mockups into functional web pages using HTML, CSS, JavaScript, and Bootstrap.

Frontend Developer at Hazino Technologies

Frontend development; optimized e-commerce site responsive design and increased user engagement; converted mockups into web pages.

Frontend Web Developer at Hazino Technologies

Frontend development for e-commerce sites; optimized responsive design and accessibility across platforms using HTML, CSS, JavaScript and Bootstrap.

Front-end Web Developer at Hazino Technologies

Front-end web development focusing on responsive e-commerce sites. Optimized site performance, improved user engagement and accessibility across platforms. Converted design mockups into webpages using HTML, CSS, JavaScript and React.

Frontend Web Developer at Hazzino Technologies

Enhanced responsive eCommerce web designs to ensure seamless user experiences across devices and browsers. Converted mockups into web pages using HTML, CSS, JavaScript, and Bootstrap.

Front-end Web Developer at Hazzino Technologies

Enhanced responsive eCommerce web designs to ensure seamless user experiences across devices and browsers. Converted mockups into web pages using HTML, CSS, JavaScript, and Bootstrap.

Intern at Hazzino Technologies

Created a responsive eCommerce user interface using HTML, CSS, JavaScript, and Bootstrap frameworks for improved online shopping experience.

Developer at AICTE & Edunet Foundation

Developed a mental health fitness tracker powered by Artificial Intelligence. Designed the application to monitor users' mental wellbeing by analyzing mood logs, behavioral patterns, and other mental health indicators. Provided suggestions based on AI analysis. Technologies used include Python and AI algorithms.

Frontend Developer at AIC TE & Edunet Foundation

Frontend development using HTML, CSS, JavaScript, and Bootstrap; built responsive web pages; improved user engagement.

Frontend Web Developer at ICTE & Edu Foundation

Improved a mental health fitness tracker powered by Artificial Intelligence; analyzed mood logs and health indicators to provide recommendations; implemented AI-powered features.

AI Intern - Mental Health Tech at AICTE & Edunet Foundation

Improved a mental health fitness tracker powered by Artificial Intelligence. Used Python and AI to monitor mental wellbeing by analyzing mood logs, behavior, and health indicators. Built AI-powered app backend and integrated with front-end.

AI Application Developer at AICTE & Edunet Foundation

Improved a mental health fitness tracker powered by Artificial Intelligence by monitoring mental wellbeing through analyzing mood logs, behavior, and health indicators to provide suggestions. Used Python and AI technologies.

AI Developer (Project) at AICTE & Edunet Foundation

Improved a mental health fitness tracker powered by Artificial Intelligence that monitored mental well-being by analyzing mood logs, behavior, and health indicators to provide suggestions. Technologies used: Python and Artificial Intelligence.