UJWAL D

Experienced Associate Software Engineer with a current position as a Java Tool Developer at Rteonfgen. Passionate about AI and large language models, with a specific focus on exploring the potential of AI agents and their integration with Langchain and Crew AI frameworks. Possess a solid background in software engineering and committed to staying up-to-date with the latest advancements in this dynamic industry. Goal-oriented and eager to utilize my skills and knowledge to contribute to groundbreaking projects that push the boundaries of AI technology.

MEDKIOSK – Smart Medicine Vending Machine
Developed an IoT-based solution featuring a smart medicine vending machine. Users can locate the nearest kiosk through a mobile app, purchase over-the-counter (OTC) medicines, and complete transactions securely using OTP and integrated payment features. The system includes both a physical kiosk and an easy-to-use app interface, offering convenient access to essential medications.

Retrieval-Augmented Generation (RAG) Implementation
Developed a RAG model that combines retrieval and generation to improve response accuracy by integrating relevant information from a knowledge base. Improved response accuracy by 30% by sourcing relevant information from a knowledge base. The model enhanced natural language understanding, handling 20% more complex queries with increased response relevance, improving user interactions.Utilized the model to handle complex queries, enhancing natural language understanding and response relevance.

Data Scraper for LinkedIn and Twitter
Built a custom scraper to extract and analyze data from LinkedIn and Twitter profiles, capturing essential user information and engagement metrics. This tool enables streamlined data collection for analytics and insights, supporting targeted social media strategies. https://github.com/USD007/llm-learning/tree/start-here