Developed and deployed Conversational AI Bot API leveraging VertexAI LLM on Google Cloud Platform, prototyping intelligent components for advanced conversational interfaces.Implemented and maintained Conversational AI applications in a production environment, enabling seamless voice and text interactions with users.Led the integration of CircleCI for streamlined DevOps and automated pipelines in a Python environment, enhancing deployment efficiency.Utilized the LangChain Python framework with techniques such as RAG, Chain of Thought, and Custom Agents, achieving a 92% accuracy rate in decision-making processes.Experimented with prompt engineering techniques including Chain of Thought, significantly refining LLM decision-making and improving conversational abilities.Reduced customer interactions by 80%, achieving an average response time of 3 seconds for user queries, enhancing user satisfaction.Employed Firebase for secure NoSQL storage and retrieval of conversation data, ensuring data integrity and security.Enhanced system performance with ElasticSearch, utilizing it for vector stores in the RAG system, thereby optimizing query handling and response generation.Conducted research on the latest advancements in NLP/NLU and language models (LLMs) to continually improve chatbot capabilities.Collaborated frontend and backend teams, contributing to the multidisciplinary design and implementation of conversational agent workflows.Engaged in rapid prototyping and experimentation, advising on best practices for designing and integrating conversational agents, continually refining the AI system's capabilities.

As an AI/ML Integration Specialist, I have a proven track record of driving business outcomes by utilizing artificial intelligence and machine learning techniques. Here are some of my key achievements:Built predictive models to identify high propensity and high credit individuals, resulting in a 25% increase in sales conversions.Developed prescriptive and predictive models using PowerBI that leveraged AI/ML algorithms to analyze Shopify buying and online behaviors.Designed and implemented chatbots that improved the customer experience increasing in customer satisfaction.Performed customer segmentation using ML, resulting in a 25% increase in marketing effectiveness and a 15% increase in customer retention.Built predictive models for product recommendations using AI/ML.Undertook data collection, preprocessing, and analysis, resulting in a 30% improvement in data accuracy and a 40% reduction in data processing time.Deployed production architecture and systems to integrate AI and ML algorithms, resulting in a 50% increase in efficiency and a 60% decrease in processing time.

• Automated and scaled unit testing processes, information, and data manipulation, optimizing team performance.• Performed regular duties as SQL/Database administrator, implemented, configured and maintained IBM Db2 Databases virtual servers.• Minimize and manage identity creation, implementing security software solutions from IBM for identity management.• Develop skills in service orientation for up to 400 users from various companies by analyzing and synthesizing data