Context
At HP Inc., I spent two years as a Software Engineer in the Intelligent Automation CoE, building automation and OCR-based solutions across customer support, supply chain, commercial, and finance workflows.
What I Built
I automated manual, document-heavy, and data-collection processes including print usage data collection for 100+ enterprise clients across APJ using C# and SQL, and OCR-driven document processing workflows using UiPath, Tesseract, Python, and SQL for Proof of Delivery documents.
I also built reusable recovery APIs for dangling human-in-the-loop document-validation jobs. These APIs reduced repeated manual effort when document jobs failed and became a reusable module across HITL document workflows.
Challenges
A recurring challenge was designing automation systems that could handle real enterprise workflow failures, not just happy-path execution. Document validation jobs could get stuck, fail midway, or require business users to repeat the same work across batches of documents.
The recovery APIs addressed this by giving teams a reusable way to recover dangling HITL jobs without duplicating manual validation effort.
Impact & Takeaways
The work improved revenue recognition timeliness by 70%, saved 11 FTEs, reduced dispute rates, and saved business SPOCs 2+ hours of manual rework per failed job.
This experience strengthened my SQL, Python, C#, automation, API development, CI/CD, and stakeholder collaboration skills while showing me how well-designed automation can create measurable impact across large enterprise operations.