Prayag Dutt Pandey
Supply and Workforce Planning Lead @Innodata Inc.
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WORK HISTORY
Supply and Workforce Planning Lead @Innodata Inc.
NJ, US
Drive global allocation strategies to optimize resource deployment across multiple projects and geographies- Lead supply planning initiatives ensuring balance between client demand, workforce availability, and operational efficiency- Partner with leadership, operations, and project teams to forecast needs, mitigate risks, and ensure on-time delivery- Build and refine workforce models that improve utilization, occupancy, and productivity at scale- Provide actionable insights through data-driven planning and scenario modeling to support decision-making.
EDUCATION
University of Lancashire
Bachelor of Science - BS, Physics with astrophysics
Institute of Techncal Education & Research
Bachelor of Technology - BTech, Computer Science
ABOUT PRAYAG DUTT PANDEY
At Innodata — one of the world\'s largest AI data companies — I lead supply and workforce planning across multiple concurrent AI/LLM projects, managing full-time equivalents across global geographies. My decisions directly impact the quality and continuity of training data pipelines that feed some of the most advanced language models in production today. Previously worked in deploying the best AI/LLM models at Scale AI.What I own- End-to-end capacity planning and headcount forecasting for large-scale AI data programs- Supply-demand balancing across geographies and project portfolios- Resource allocation strategy to maintain 100% utilization at project scale- Workforce ramp planning for fast-moving LLM annotation and RLHF programsWhat sets me apart- I didn\'t start in operations. I came up through the AI/LLM stack — hands-on RLHF, data pipeline design, model fine-tuning, and LLM annotation. I understand the work at the ground level, which makes me a sharper planner at the strategic level- Background: B.Tech, Computer Science | ML Specialization | Six Sigma Green Belt | 3+ years in AI/LLM data operations- Open to senior roles in Workforce Planning, AI Operations, Resource Strategy, or Program Management within AI/ML organizations.
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