McKinsey Numetrics
A premier R&D planning and resource simulation platform. Worked on the core planning synthesis engine utilizing Java and the Spring Framework for portfolio forecasting.
Visit Live Site[ Core Responsibility ]
Core Backend Engineer
Worked on the backend services and core planning synthesis engine for McKinsey Numetrics, a premier R&D organization planning solution.
[ The Problem ]
Large R&D enterprises face massive simulation hurdles when attempting to accurately forecast resource constraints, staffing options, and schedule shifts across complex project portfolios.
[ Core Capabilities Integrated ]
Core Synthesis Engine: Worked on the high-performance core simulation engine using Java and Spring Framework, optimizing multi-variable planning models.
Portfolio Simulation Features: Contributed to data ingestion and execution routines to support dynamic project staffing simulations.
Enterprise Data Integration: Maintained highly structured database interaction patterns with Oracle Database, enabling efficient tracking of historical simulations.
[ Measured Impact ]
Contributed to the integration of high-concurrency simulation routines within the core planning product, allowing R&D portfolios to run dynamic resource simulations.
Optimized execution performance of the synthesis planning services, enabling faster feedback loops during portfolio scenario modeling.
Structured clean, highly testable backend components with Java Spring and Oracle DB, following enterprise-grade development patterns.