Parul Walkey

• Product Development. Supporting the progression of an AI-generated TV product from an early-stage prototype toward a market-ready product, translating product objectives into structured development activities and milestones.
• Technical Team Coordination. Coordinating with the development team across priorities, dependencies, deliverables, and technical implementation while helping maintain alignment between product goals and execution.
• Project Planning & Execution. Supporting project planning, milestone tracking, task prioritization, risk identification, and follow-ups to maintain visibility into development progress and upcoming decisions.
• Prototype → Scale. Helping structure the transition from prototype development toward a scalable product by identifying requirements, execution gaps, dependencies, and considerations needed for future product readiness.

This role is strengthening my experience at the intersection of project management, AI product development, and technical execution, particularly how an early-stage technology concept moves from prototype toward a usable and scalable product.

AnnieGuard was an AI-enabled healthcare venture exploring the use of a machine-learning API for sarcoma detection. I led a four-person team through the Maryland New Venture Program, working across customer discovery, product definition, prioritization, and project execution.

• Discovery & Problem Validation. Conducted 20+ user interviews to understand user needs, workflow challenges, adoption barriers, and assumptions around the proposed solution.
• Product Thinking. Translated Voice-of-Customer insights into product requirements and priorities, helping refine the problem statement and shape the direction of the proposed AI-enabled solution.
• Project Leadership. Led a four-person team across milestones, sprint planning, responsibilities, risks, dependencies, stakeholder communication, and final deliverables.
• Execution & Outcome. Improved team execution cadence, reduced task slippage, and led the project through the final venture presentation, resulting in a Pitch Night win.

AnnieGuard taught me that a strong AI model is only one part of a successful product. User needs, workflow fit, trust, adoption, execution, and measurable value determine whether the technology becomes useful.

The experience gave me a practical foundation in operations, supply chain, analytics, improvement, and cross-functional execution in real operational environments.

• Operations & Planning. Used historical production and demand data to support planning and operational decision-making across large-scale manufacturing operations.
• Process Improvement. Identified performance gaps and supported process optimization initiatives that reduced waste, improved efficiency, and contributed to significant recurring cost savings.
• Procurement & SAP. Supported procurement workflows through SAP S/4HANA, including purchase-order processing, material coordination, vendor interactions, and GR/IR activities.
• Analytics & Decision Support. Built reporting workflows that reduced reporting time by 66% and improved visibility by 50%, with biweekly procurement/change-order reporting related to procurement and Management of Change, alongside separate monthly customer reports.
• Cross-Functional Project Execution. Coordinated work across operations, engineering, maintenance, procurement, and external stakeholders while tracking priorities, dependencies, risks, and deliverables.

The experience gave me a practical understanding of how data, supply chains, business constraints, technical teams, and project execution come together in real operational environments.