Adobe Systems Inc.

• Collaborated with customers to analyze their bespoke solution architectures, identify logic flaws or misconfigurations, and provide clear code-level guidance on how to optimize prompt-generation workflows for producing effective advertising content across campaigns.
• Contributed targeted bug fixes and performance improvements to core product codebases—often after isolating defects through log correlation, stack-trace analysis, and code instrumentation—allowing engineering teams to accelerate feature development.
• Contributed bug fixes to the engineering teams allowing them to focus on new features
• Analyzed and troubleshot third-party extensibility solutions built on serverless architectures (e.g., cloud functions, event-driven workflows), including reviewing invocation patterns, cold-start latency, misconfigured triggers, and cross-service integration issues.
• Debugged low cache-hit-ratio scenarios across customer CDN configurations by analyzing edge logs, cache-key logic, invalidation patterns, and origin request behavior—ultimately improving site performance, reliability, and cost efficiency.
• Investigated and troubleshot highly customized Java-based enterprise applications by reviewing source code, reproducing issues in controlled environments, and writing additional diagnostic or instrumentation code to perform deep root-cause analysis of content-delivery, rendering, and request-handling failures.
• Designed and delivered technical training courses for new internal debugging and observability tools, enabling engineers and support staff to diagnose complex production issues more efficiently.

Adobe Systems Inc.

• Created training courses for new software solutions used by internal employees to debug and troubleshoot
• Troubleshooted complex Java enterprise solutions in order to rectify customers content and serve requests adequitely
• Contributed bug fixes to the engineering teams allowing them to focus on new features