Systems · Product · Consulting
Whether it's a hardware supply chain or an AI product, I care about the same thing: understand the system, find the real constraint, and design something that holds. I work across operations and product — and I'm currently deep in agentic AI, which is basically systems design with a mind of its own.
Projects that demonstrate how I think, not just what I shipped.
I started my career as a Project Engineer at Shapoorji Pallonji, building should-cost models and SAP-based MRP planning for large infrastructure projects — that foundation in operational rigor and structured problem-solving has stayed with me ever since. After completing my Master's in Engineering Management at Duke, I've applied procurement strategy across hardware startups and now at Tesla, where I lead NPI procurement for battery pack programs across global sites.
I'm drawn to problems where the margin between success and failure lives in the details: supplier readiness, BOM accuracy, and data-driven decision-making at scale. Outside of work, I'm usually exploring new places, cooking, or finding the best coffee spot in the Bay Area.
Lead end-to-end procurement for battery pack NPI builds across Fremont, GFTX, and GFBB — achieving 100% Clear-to-Build readiness while sustaining costs 25% under budget. Built Tableau dashboards for inventory aging and shortage tracking used in weekly executive reviews covering $200M in builds.
Built a lifecycle emissions model using EPA WARM datasets, demonstrating a 28–35% reduction in emissions through closed-loop recycling systems.
Designed end-to-end procurement processes for a B2B construction marketplace, driving a 30% reduction in material costs and improving supplier compliance across 5,000+ SKUs.
Managed SAP-based MRP and BOM planning for a $70M project; developed should-cost models and category sourcing strategies for $6M+ in materials, realizing 8% below-budget sourcing.