- π B.E. Computer Engineering Student
- π» Passionate about Java Backend Development, Full Stack Development, and AI/ML
- π± Currently learning Spring Boot, Microservices, React, LLMs, and Cloud Technologies
- π€ Interested in Artificial Intelligence, Retrieval-Augmented Generation (RAG), and Machine Learning
- π Hackathon Participant and Continuous Learner
- π« Reach me at: yogikh2018@gmail.com
Tech Stack: Python, LangChain, FAISS, Hugging Face Transformers, Sentence Transformers, Streamlit, PyPDF
- Developed an AI-powered Document Question Answering System using Retrieval-Augmented Generation (RAG).
- Users can upload one or multiple PDF documents and ask questions in natural language.
- Implemented semantic search using FAISS Vector Database.
- Generated contextual answers using Large Language Models (LLMs).
- Built an interactive web application using Streamlit.
- Improved document retrieval accuracy with embedding-based search.
Tech Stack: Java, Spring Boot, Spring Security, MySQL
- Spring Boot REST APIs
- JWT Authentication & Authorization
- Invoice Generation (PDF/Excel)
- Email Integration using Java Mail API
Tech Stack: C, Linux
- Linux File System Simulation
- Inode Table, UFDT, File Table Implementation
- Custom Shell Commands
Tech Stack: Java, Swing
- Java-based File Compression Utility
- MD5 Encryption & Decryption
- Swing GUI Application
- π Participant β 24 Hour National Level Hackathon
- π Participant β Indradhanu National Level Hackathon
- π Java Certification β HackerRank
- π React Certification β HackerRank
- π GitHub: https://github.com/yogikh2005
- πΌ LinkedIn: https://www.linkedin.com/in/yogiraj-khaladkar05
- π§ Email: yogikh2018@gmail.com
β Learning, Building, and Growing Every Day.