Satya G

As a Generative AI Engineer, building and scaling production-grade Gen-AI solutions for healthcare and enterprise use cases, with a strong focus on reliability, security, and responsible AI. I am collaborating closely with clinicians, domain experts, and business stakeholders to design and optimize prompt strategies, evaluate LLM performance, and integrate AI into existing clinical and enterprise workflows. I am actively monitoring models in production using live data, identifying drift, hallucinations, and performance degradation, and continuously improving outcomes using robust evaluation metrics. My work involves applying Python and modern ML frameworks while ensuring compliance, data privacy, and ethical handling of sensitive information such as PHI and PII. I am focused on delivering trustworthy, human-centered AI solutions that create measurable impact at scale.

As an AI/ML Intern at Optum (UnitedHealth Group), I work on developing and optimizing Generative AI and Large Language Model (LLM) solutions to enhance automation and decision intelligence in healthcare. My role involves prompt engineering, model fine-tuning, and performance monitoring using Python, PyTorch, and TensorFlow. I collaborate with data scientists and domain experts to align models with business needs, detect drift and hallucinations, and ensure responsible, secure, and scalable AI deployments in production environments.

Served as a liaison between the Graduate School and prospective students, representing UMKC at academic and technical events. Utilized data driven insights to support enrollment outreach, mentorship programs, and academic engagement strategies. Helped streamline digital workflows for student inquiries using tools like Google Workspace, Excel, and CRM platforms, ensuring accurate tracking and reporting of recruitment metrics.

Worked as Building supervisor, Facility Attendant, Fitness Attendant, Event's lead and Membership office Attendant at UMKC Campus Recreation and Supported operational data tracking and system management for campus facilities and recreation services. Assisted in maintaining digital records, scheduling databases, and event registration systems. Collaborated with IT and facility teams to troubleshoot access and automation issues using Excel formulas, SQL queries, and process-optimization tools. Developed basic analytics dashboards to improve efficiency and resource allocation within campus operations.

Worked with the advising technology team to enhance data-driven decision support systems for student success. Helped manage advising databases, clean and analyze student academic data, and automate reporting processes using Python and Excel. Supported integration testing for advising portals, ensuring data consistency, security, and user-friendly workflows.

"Employee of the year" at campus Re-creation FY 2024-2025 "Best Après-Ki employee of the quarter" at Campus Re-creation for Fall 2024