(Dec 2024 - Jan 2025)
Winter Intern
Vivekanand Education Society's Institute of Technology
constcoder={name:'Prajwal Kulkarni',skills:['React', 'NextJS', 'NodeJS', 'Express', 'Django', 'MongoDB', 'Tailwind'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is PRAJWAL KULKARNI. I am an aspiring and enthusiastic programmer in my daily life. I am a quick learner with a self-learning attitude. I love to learn and explore new technologies and am passionate about problem-solving. I love almost all the stacks of web application development and love to make the web more open to the world. My core skill is based on JavaScript and I love to do most of the things using JavaScript. I am available for any kind of job opportunity that suits my skills and interests.
Experiences
(May 2024 - July 2024)
Summer Intern
Vivekanand Education Society's Institute of Technology
Skills
PROJECTS
DocGen AI - Code Documentation Generator
constproject={name:'DocGen AI - Code Documentation Generator',tools: ['React', 'TypeScript', 'FastAPI', 'Python', 'Mistral AI', 'OpenAI API', 'Claude API', 'GitHub API', 'ZIP Processing', 'Markdown Rendering', 'Three.js],myRole:Frontend Developer,Description: An intelligent code documentation platform that automatically generates comprehensive documentation for any codebase using advanced AI models. Built with React frontend and FastAPI backend, it analyzes GitHub repositories or uploaded ZIP files to create meaningful comments, README files, and API documentation. Features multi-branch support, real-time Markdown preview, and uses different LLM models optimized for specific tasks - lightweight models for inline comments and powerful models for architectural summaries. Includes intelligent code preprocessing that reduced processing time by 70% and API usage by 60%.,};CoreConnect: Automated Query Resolution Platform
constproject={name:'CoreConnect: Automated Query Resolution Platform',tools: ['Next.js', 'FastAPI', 'Node.js', 'Express', 'MongoDB', 'Python', 'JavaScript', 'TypeScript],myRole:Full Stack Developer,Description: A hackathon project that developed an intelligent platform to automate daily user query resolution, reducing operational load by handling simple queries through an automated system. The platform efficiently processes and resolves maximum user queries in real-time, allowing human operators to focus on complex issues. Built with a modern tech stack featuring Next.js for the frontend and a hybrid backend architecture using both FastAPI and Node.js Express with MongoDB for data management.,};MedBuddy - Medication Adherence App
constproject={name:'MedBuddy - Medication Adherence App',tools: ['React', 'Vite', 'Tailwind CSS', 'FastAPI', 'Python', 'JavaScript', 'MongoDB', 'Notification System', 'Healthcare Data Security],myRole:Frontend Developer,Description: A privacy-focused medication management application designed to address critical medication adherence issues, particularly among elderly patients. The platform provides automated medication reminders, caregiver alerts for missed doses, and comprehensive schedule management to prevent serious health complications from incorrect dosing. Features multi-language support, voice-based reminders, and secure handling of sensitive health data. Built with user-friendly design principles to accommodate users with cognitive decline and complex prescription requirements.,};Educations
2023 - Present
B.E.
V. E. S. Institute of Technology
2008 - 2023
Secondary School and Higher School Certificate, Science
Fr. Agnel Multipurpose School & Junior College