• Managed an intelligent data driven visualization recommendation engine, enhancing user interactions by automatically suggesting the most relevant charts for business data queries.

• Led the integration of LLM technology into various parts of the application flow, focusing on enabling dynamic user interactions with data visualizations through natural language processing.

• Initiated a proof-of-concept to improve question-answering accuracy by generating intelligent metadata and labels for data assets, laying the groundwork for more reliable analytics.

• Led a comprehensive evaluation of internal LLM capabilities for a multilingual chat use case, employing a custom-built Python pipeline to benchmark against competitors and set key performance metrics.

• Orchestrated the development and deployment of an automation pipeline on AWS using Red Hat clusters, enhancing project scalability and deployment reliability.

• Led the conceptualization and planning of a modular component architecture to enable users to create and integrate custom functionalities into AI applications.

• Collaborated in developing and delivering a prototype LLM chatbot for developer productivity within three weeks, securing executive buy-in and funding after demoing to the Senior Vice President of the software division.

• Advocated for and facilitated AI literacy within the team, delivering educational sessions on LLM technologies and applications, significantly enhancing team capabilities.

• Contributed to diverse aspects of AI application development, from LLM integration and prompting to infrastructure management, showcasing a broad technical skill set.

• Spearheaded cloud delivery optimizations and automated pipeline enhancements, streamlining existing processes and reducing manual intervention.

• Administered cloud infrastructure across IBM Cloud and Red Hat OpenShift platforms, enhancing operational stability and scalability.

• Played a key role in implementing mutual TLS (mTLS) security across all services, significantly improving the security posture and compliance of the product.

• Managed the end-to-end promotion and delivery pipeline for IBM Cloud, ensuring seamless, error-free deployments and updates.

• Worked directly with a customer to develop a proof of concept webapp for a startup idea

• Acquired the ability to discuss design and implementation directly with a customer, learned to accommodate changing requirements

• Full-stack development using MongoDB for database, Python Flask for backend, and React for frontend

• Practiced negotiating implementation while considering differences in business impact vs. technological complexity

• Learned to communicate with people outside of tech to make sure the customer achieved the desired outcome