Umang Kalavadiya

Integrated OpenAI APIs and optimized prompts to enhance output quality by reducing errors and inconsistencies by 27%. Designed, developed, and deployed Rasa-based chatbots for diverse business use cases, implementing custom responses to improve user engagement, satisfaction and Latency issues. Assisted the ML team in creating high-quality datasets and training machine learning models, contributing to a 20% improvement in models accuracy. Implemented AI agents using frameworks like FlowiseAI and LangChain, streamlining workflows and enabling complex, multi-step reasoning. Collaborate with cross-functional teams to continuously improve the prompts, datasets, ML Models and chatbot functionalities.

Built and fine-tuned computer vision models to meet specific business requirements, achieving 70% accuracy in image classification tasks. Conducted extensive data gathering and research to support the development and fine-tuning of the machine learning Models. Collaborated with the team to train the Model using analyzed datasets and contributed to data analytics processes.