Led development of distributed observability and tracing systems that transformed high-volume infrastructure events into actionable operational insights for production engineering teams.

Architected scalable ingestion, sessionization, persistence, and analytics layers to support real-time monitoring, diagnostics, and workflow-level visibility across complex infrastructure systems.

Applied AI agents to improve engineering productivity and operational support, including on-call assistance, documentation Q&A, task/codebase context retrieval, and guided production investigation.

Delivered a sophisticated pick, pack and shipment orchestration system in Java engine. With precise pick and ship dates, reducing order packing errors, minimizing costly Mis-shipments and accelerating operational efficiency.

Designed and implemented allocation History feature in Java engine for high-stakes sales events worth millions, utilizing historical shipments to predict future supply distribution, preventing shortages, enhancing stakeholder visibility throughout campaigns, and increasing customer satisfaction.

Developed a robust Replay framework for Manufacturing order fulfillment, proved instrumental when a high-value order stalled in "hold shipment", resolving issue in minutes and averting potential hours of business disruption.

Created supply lookup optimization, an intelligent binary search, seamlessly traverses forward and backward in time, streamlining search intervals and boosting on-time order fulfillment.

Software Developer at Oracle SCM (Supply chain Management cloud).

Global Order Promising(GOP): Multi-model system to process the customer order request, check for order availability and an efficient promising delivery engine based on supply sources. Working over both the existing in-memory C++ GOP engine and the next advanced and revamped database-centric architecture, with a light-weight Java engine.

Developments:

Headed development of Cut-Off Time functionality, allowed customers with 24/7 order placement, improved same-day delivery commitment by 30%, and boosted shipping precision by strategically defined cut-off times.

Spearheaded Profitable-to-Promise (PTP) mechanism, manufacturing and fulfillment of orders with utmost cost-efficiency, providing unparalleled value for high-volume customers managing multimillion-dollar supply chain orchestration.

Devised and implemented a methodology to include historical shipments in the calculation to determine the future proportional allocation of supplies across different demand channels of customers in a given time range and prevent starvation.

Scaling the order promising engine to process the huge volume of XML-based SCM cloud entities data by dynamically splitting and processing.

• Implemented a Streamlined Email extraction process across Schneider’s order turndown division using Microsoft graph API.

• Devised and Implemented a Spark validation system for data migration from Hive database to Oracle database.

• Implemented a Dynamic UI Dashboard configured with MapR-DB (NoSQL) for Schneider’s D4 command control Center.

• Extracted Agile Central(AC) data using AC database connector and designed a user efficient DB schema to query the AC entities

Software developer at Oracle Public Cloud

Worked under SaaS application service development that automates software provisioning, configuration management and cloud application deployment. Used Agile Methodologies with the test-driven approach for developing applications.

• Infrastructure integration and testing for Oracle Public Cloud products such as TAS (Tenant Automation System), SDI (Service Deployment Infrastructure, MQS(Metering Quota System) using Oracle DTE (distributed environment framework). Implemented an efficient automation framework for 15 different SaaS services.

• Improved cloud orchestration performance by 32% by integrating Multiple cloud domains.

• Implemented sanity test strategy for Cloud services TAS and SDI.