Jun 2025 – Present · 9 mos · San Francisco Bay Area · Hybrid

• Advising early-stage AI and data annotation startups on how to scale human-in-the-loop operations, optimize quality pipelines, and integrate with model training workflows.
• Supporting go-to-market strategy and operational design for annotation and expert-labor platforms
• Helping teams build scalable, cost-efficient expert review and QA pipelines
• Partnering with founders and product leaders on roadmap prioritization and team org design
• Drawing on experience scaling high-performing data ops teams at Scale AI, Snorkel AI, and Modern Health
• 💡 Open to new advisory or fractional ops roles in AI, data, and frontier tech

Dec 2024 – Jun 2025 · 6 mos · San Francisco, California, United States · Hybrid

• At Snorkel AI, I’m leading the buildout of our Data-as-a-Service function from the ground up—hiring and scaling a high-performing team of project managers and human data ops experts. I’ve taken our delivery operations from 0 to 1, designing workflows and metrics to track and optimize data pipelines. I collaborate closely with research and engineering to enhance our data annotation platform and integrate human-in-the-loop systems, while also contributing to synthetic data initiatives.

Apr 2024 – Dec 2024 · 8 mos

• At Modern Health, I led strategic initiatives across network operations, analytics, and provider management. As Director of Provider Network, I drove $3M+ in annual cost savings while improving operational efficiency by 130% through targeted restructuring. I oversaw global provider metrics and quality, ensuring high performance across international markets. Previously, as Senior Manager of Strategy & Analytics Operations, I built a global supply-demand forecasting model and automated key workflows to align provider capacity with company growth and scalability goals.

Oct 2023 – Apr 2024 · 6 mos

Nov 2021 – Oct 2023 · 1 yr 11 mos

Feb 2021 – Nov 2021 · 9 mos

• At Scale AI, I pioneered and built the Global Workforce Strategy & Operations function from the ground up. As the first hire on the team, I scaled it to include 5 international team leads and over 35 global contractors—driving $250K in monthly cost savings and a 15% increase in margins. I oversaw daily operations for a 60,000-person international data labeling workforce, consistently hitting SLA goals. I developed workforce planning, capacity models, and global expansion strategies, and launched initiatives that increased labeler funnel conversion by 15%. Collaborating closely with Growth, Product, and Engineering, I led improvements to the labeler platform that elevated both user satisfaction and engagement at scale.

Feb 2020 – Feb 2021 · 1 yr

• At Scale AI, I led the 2D annotation delivery function, managing end-to-end operations for over 100 projects with consistent 90%+ SLA attainment. I scaled our team from the ground up—building a global organization of 12 project managers, 24 delivery leads, and 1,000+ QA specialists. Within one quarter, I increased SLA performance from 70% to 90% and improved margins by 105%. I partnered closely with sales to exceed 2D consumption goals by 130%, standardized labeling policies across project types, and ran weekly business reviews with senior leadership and the CEO. My focus was on operational excellence, cross-functional alignment, and scalable systems for high-quality data delivery.

Sep 2019 – Feb 2020 · 5 mos

Apr 2018 – Sep 2019 · 1 yr 5 mos · San Francisco Bay Area

• - At CircleUp, I launched and built the loan operations function from scratch, hiring and managing the team while overseeing third-party vendor relationships (including Salesforce consultants and fund administrators). I played a key role in successfully launching and closing a new credit fund, collaborating with the fund team to prepare investor-ready data rooms and support LP due diligence. I rebuilt the reporting infrastructure to align with the new fund structure and partnered with engineering to overhaul the credit database, rewriting SQL tables and queries to drive processing efficiency. I regularly reported key metrics to senior leadership and investors using SQL and Excel.

Sep 2016 – Apr 2018 · 1 yr 7 mos · San Francisco, California

Apr 2015 – Sep 2016 · 1 yr 5 mos · San Francisco, California

Apr 2014 – Apr 2015 · 1 yr · San Francisco

Oct 2012 – Apr 2014 · 1 yr 6 mos · Santa Clara, CA