• Performance Optimization and Solution Monitoring: Keep an eye on and continuously improve the AI solutions'performance, especially that of large language models and foundation models. Find ways to improve speed, accuracy, andefficiency through infrastructure optimization, algorithmic enhancements, or fine-tuning.• Serve as the clients' technical point of contact, responding to their inquiries, grievances, and suggestions. Throughout thesolution implementation process, offer… Show more • Performance Optimization and Solution Monitoring: Keep an eye on and continuously improve the AI solutions'performance, especially that of large language models and foundation models. Find ways to improve speed, accuracy, andefficiency through infrastructure optimization, algorithmic enhancements, or fine-tuning.• Serve as the clients' technical point of contact, responding to their inquiries, grievances, and suggestions. Throughout thesolution implementation process, offer technical support and direction on AI-related best practices and use cases.• Applied regression analysis for customer retention insights, optimizing loyalty strategies.• Collaborated with cross-functional teams in a technology-driven environment.• Delivered concise reports with valuable insights to senior management with growth mentality to grasp clients’ businessprocesses and concerns. Show less

• Involve stakeholders in the analysis and application process. a dedication to lifelong learning and keeping abreast ofdevelopments in artificial intelligence.• Conducted exploratory data analysis (EDA) on large datasets using Python and SQL to identify trends and patterns,enabling data-driven decision-making and informing business objectives.• Pre-processed and cleaned data, developed feature engineering pipelines, and prepared datasets for model training,ensuring… Show more • Involve stakeholders in the analysis and application process. a dedication to lifelong learning and keeping abreast ofdevelopments in artificial intelligence.• Conducted exploratory data analysis (EDA) on large datasets using Python and SQL to identify trends and patterns,enabling data-driven decision-making and informing business objectives.• Pre-processed and cleaned data, developed feature engineering pipelines, and prepared datasets for model training,ensuring alignment with customer requirements and technical specifications.• Built, evaluated, and optimized machine learning models using scikit-learn and TensorFlow, achieving a 10% accuracyimprovement compared to existing models, thus facilitating rapid client delivery.• Created data visualizations and reports using Tableau, presenting findings to senior management to drive productinnovation and support solution implementation. Show less