Scope and responsibilities
IBM gave me two complementary perspectives: the realities of enterprise technology at scale and the challenge of bringing emerging AI research into practical applications.
I started as a DB2 LUW Technical Analyst, helping customers diagnose and resolve complex database issues while working across Development, Product Management, Services, and QA. I then moved into Watson Health Imaging, joining the machine learning initiative and working closely with researchers to connect advanced technical approaches with medical imaging capabilities.
Selected projects and contributions
Solving complex enterprise database problems
Analyzed and diagnosed challenging DB2 LUW issues to help global clients maintain business continuity and isolate root causes.
Connecting customers with product engineering
Worked across Development, Product Management, Services, and QA to investigate software defects, validate enhancements, and advocate product improvements.
Translating machine learning research
Collaborated closely with research teams to connect advanced machine learning techniques with applied medical imaging product requirements.
Connecting AI with specialized domain needs
Built experience at the intersection of machine learning, imaging, and medical software—where technical capability must align directly with practical clinical workflow needs.
What I learned
IBM helped establish a perspective that has stayed with me throughout my career: effective AI requires both technical depth and a clear understanding of the problem being solved.
The DB2 experience taught me to start with customer problems, understand complex systems, and work across organizational boundaries. Watson Health Imaging showed me how research and machine learning can be translated into product capabilities—and highlighted the difference between demonstrating an AI technique works and making that capability useful within a product.
Outcomes and impact
My contributions focused on enterprise software reliability, cross-functional product feedback loops, and translating machine learning research into applied medical imaging development. Numerical impact claims have not been included because no verified quantitative metrics are available in the current career notes.