Conceptualized and built a no-code chatbot system, harnessing GPT-based knowledge, and took charge of backend development, resulting in a streamlined chatbot creation process.Implemented Pinecone for data storage and retrieval, significantly reducing response time and enhancing data management capabilities.Led the data preprocessing efforts, enabling efficient knowledge extraction from various sources, ensuring the chatbots provided highly accurate responses.Skillfully tailored prompts to keep chatbots within token limits, balancing efficiency and context-rich responses.Collaborated in the development of a robust backend, optimizing data storage and paving the way for seamless scaling and future chatbot projects.

• Developed chatbots that reduced operator response time by 50%.• Increased website conversion by 20% through the implementation of a fine-tuned assistant model.• Utilized OpenAI API, fine-tuned open-source models, and packaged them in Docker containers.• Preprocessed data, curated knowledge bases, and generated datasets.

• Addressed NLP challenges in detecting inappropriate language and insults for a corporate system.• Reduced user complaints by 80%.• Researched and trained open-source solutions with LSTM, Bert, and GPT in PyTorch.• Implemented web scraping, API integration, and collaborated in a SCRUM team.