• To support IBM Consulting, applied prompt engineering and data science methodologies to train a GenAI assistant that converts natural language into SQL queries, automating financial and performance data retrieval, saving $28M annually with potential for additional $300M in time savings• Led design and implementation of pricing and risk assessment Slackbot used across IBM Consulting deals. Project contributed over $50M million in time savings and risk mitigation• Built validation system for users accessing sensitive IBM Consulting deal history, reducing risks and ensuring confidentiality compliance• As Scrum Master, successfully balanced demand against limited resources while supporting three Project Managers. Led seven-person engineering team, managing resources across four concurrent Finance projects. Led Agile ceremonies such as sprint plannings, stand-ups, and retrospectives• For Finance organization, managed creation and deployment of technical query chatbot using IBM’s Watsonx AI. Streamlined Slack support for 27K users, with $65M annual savings due to response automation• Saved $7M annually via proof-of-concept-based time efficiencies implemented across local department. Developed comprehensive project documentation for data pipelines. Optimized team processes

• One of three Computer Science department tutors, nominated from 2800 students in program• Clarified and helped refactor students’ code, to optimize and convey best practices• Supported students by reviewing lectures, homework, test materials, and providing context

• Crafted business case, use case, and pipeline description for Win Probability (WP) model• Conducted stakeholder reviews to identify incremental use cases for WP model• Documented model technology and pipeline, providing knowledge management and education for new team members