At Pareto.AI, I lead delivery for human data initiatives spanning RLVR and RLHF. I led the company’s first large-scale initiative for a leading frontier lab, delivering 93% of the target within four months.
On a Big Tech AI Lab’s Agentic RL project, I implemented schema-validation and guideline-compliance checks that raised client approval rates from 30% to 90% within three months. I also led 10 project managers across workstreams supporting 150+ crowd-source experts.
At Ernst & Young, I developed Power BI and Qlik Sense dashboards for an automobile client, helping reduce stock shortages by 12%. For a Fortune 500 logistics firm, I designed 18 dashboards that improved inventory control by 20% and cut costs by 15%.
I automated data extraction and integration from SAP S/4 HANA using SQL, reducing dashboard refresh time by 20% and errors by 13%. I also use Metabase reporting and Excel forecasts to plan delivery, and have worked with SQL, Python, and tools for AI and LLM operations.
