Technical program management is the art of aligning vision with execution — turning ambiguity into coordinated movement across engineering, business, and operations.
It’s not just managing timelines, but engineering momentum and accountability toward outcomes that actually move the business.
An automated machine learning algorithm that calculates, and applied configurations on a weekly basis to ensure maximum efficacy without manual intervention.
A solutions led dashboard intended to highlight, and root cause times spent under minimum backlog. Additionally, we calculate total cost lost from idling associates.
A root cause product that assists operators in identifying faults in their processes without placing blame.
A one-stop-shop KPI dashboarding and reporting tool use to track performance metrics (not defects) at a granular rate to identify root causes and blockers.
Led the development of a predictive time series forecasting AI model to predict headcount needs for future intervals (weeks, months, quarters, years)
An AI based platform that stacks onto our existing enterprise applications automating mundane tasks
This flowchart illustrates the complete lifecycle of a package through Amazon's fulfillment center outbound operations, from picking to dock dispatch. The diagram utilizes Amazon's color palette and logical grouping to clearly highlight each processing stage and identify critical bottlenecks.
Key Process Areas:
Picking Process (Navy Blue) - Where items are initially retrieved from inventory
Pick Mod: Initial item retrieval location
Pick Takeaway: First conveyance system
Conveyance System (Orange) - Transportation network between major process areas
Main Routing Sorter: Central routing system
PPAD (Picking Picked At Destination): Items arriving at processing destination
Pre-SLAM Bottleneck (Pink, Highlighted) - First critical constraint point
Induct/Pack Station: Where items are packed into shipping containers
Sorted: Items awaiting next process step
SLAM Processing (Blue) - Shipping label application and manifesting
Pack Takeaway: Movement from pack to SLAM
Scanned: Package identification verification
SLAM Station: Label application and weighing
Destination Sorter: Routes packages to appropriate downstream process
Ship Sorter: For standard shipments
Flat Sorter: For flat/envelope packages
Direct to Destination Sorter: Bypass path for certain package types that routes directly to Ship Sorter or Flat Sorter
Post-SLAM Bottleneck (Teal, Highlighted) - Second critical constraint point
Manifest Pending: Awaiting manifest completion
Final Sort: Last sorting process (human or automated)
Dock Operations (Teal) - Final dispatch preparation
Various loading operations to prepare packages for shipping
Bottleneck Analysis
The highlighted areas represent the two critical bottlenecks that most significantly impact Late SLAM DPMO:
Pre-SLAM Operations: Packing process constraints causing sorted dwells
Post-SLAM Operations: Final sorting constraints causing manifest delays
Addressing capacity planning and process optimization at these bottlenecks is essential for reducing Late SLAM DPMO and improving overall operational efficiency.
