MBM Recycling Tool
Built to optimize material production from available scrap while preserving strict chemical tolerance compliance.
Approach: Integrated internal QC composition systems and SAP availability data, with dynamic parameter selection, real-time target-vs-actual comparison, and controlled batch creation (up to 5 per cycle).
Stack: Angular, Node.js, Express.js, MongoDB, SAP integration, internal QC system integration
Impact: Enabled precise batch allocation, production-ready reporting, and stronger process control on the shop floor.
Role: End-to-end full-stack design and implementation with workflow governance
GLZ
Created to execute complex engineering calculations for Z-type bearing design through a secure external processor.
Approach: Implemented a backend pipeline that transforms user inputs into processor-ready files, executes calculations on a VM-hosted service, and uploads reports to Azure.
Stack: Angular, Node.js, Express.js, MongoDB, Azure, Azure AD, VM-hosted processor
Impact: Delivered secure and scalable operations through Azure AD authentication, region-based data segregation, and centralized report management.
Role: Architecture and full-stack implementation owner
A Miba PBI Automation System (MPAS)
Developed to automate Azure DevOps Product Backlog Item creation using AI-assisted workflows.
Approach: Integrated internally hosted GPT-based models to convert chat input, document uploads, and manual entries into structured PBIs with user stories, acceptance criteria, and definitions of done.
Stack: Angular, Node.js, Express.js, MongoDB, Azure DevOps, Azure AD SSO, internal GPT models
Impact: Reduced manual backlog drafting overhead using rewriting assistance, duplicate detection, model selection, and direct Azure DevOps PBI creation.
Role: Solution design and delivery lead across AI workflow and enterprise integration
Wind Design Tool
Engineered for feasibility analysis and end-to-end design of wind bearing systems through a structured 12-step workflow.
Approach: Integrated multiple calculation engines including ML services hosted on separate app services, with role-specific flows for Application Engineers and Simulation Engineers.
Stack: Angular, Node.js, Express.js, MongoDB, ML app services, reporting engine
Impact: Automated generation of 200-300+ slide PowerPoint reports, reducing manual reporting effort by approximately 80%.
Role: Full-stack and workflow architecture ownership with reporting automation design
Bearing Shared Database
Centralized material and oil data management across multiple bearing division applications.
Approach: Implemented secure API-based communication across Azure App Services and VMs with API key authentication, internal access controls, metadata management, and request workflows.
Stack: Angular, Node.js, Express.js, MongoDB, Azure App Services, Azure VMs, Azure AD SSO, secure APIs
Impact: Improved enterprise consistency and reduced redundancy by propagating only active, validated data to dependent systems.
Role: Solution design and implementation lead