Hiran Kumar P.

• Designed and led delivery of Generative-AI assistants (Power/Briggs Assist) with RAG over structured (eParts, TeamCenter metadata) and unstructured (PDF manuals) content. • Implemented streaming chat API (FastAPI on Cloud Run) with context-aware follow-ups, retrieval constraints, and guardrails; enabled iframe web embedding and React client. • Built vector search in BigQuery with text-embedding-005; defined chunking, metadata schemas, and ranking to balance precision/recall for parts lookup and troubleshooting. • Orchestrated PDF ingestion pipelines (GCS -> preprocess -> embeddings), plus structured table ingestion (for semantic and keyword hybrid search). • Established CI/CD with GitHub Actions; added unit/integration tests, canary deploys, and Cloud Run min instances to curb cold starts. • Scaled concurrency and memory/CPU; added centralized logging, metrics, and alerting (latency, error rate, cost per request). • Implemented accuracy evaluation reports comparing Gemini vs. GPT variants with a curated question set; fed gaps back into chunking and prompts. • Defined data retention and monitoring policies for prompts, retrieval logs, and embedded vectors; documented risk mitigations and access patterns. • Delivered a sustainable, low-ops footprint (Cloud Run + GCS + BigQuery) with cost transparency and tunable quality/latency controls. Power/Briggs Assist (GenAI Chatbot, Production) • Architecture: RAG pipeline combining vector retrieval with LLM generation on Vertex AI; trade-offs analyzed for managed models vs. open-source for privacy/latency. • AI Evaluation Suite: Automation for batch Q/A runs, scoring, error taxonomy, and regression tracking; integrated with CI to protect quality during rapid iteration. #GenerativeAI #RAG #VertexAI #CloudRun #BigQuery #VectorSearch #Embeddings #SemanticSearch #RAGEvaluation #AIEvaluation #PromptEngineering #Guardrails #DataEngineering #CICD #GitHubActions #Docker

Environment: Snowflake, GCP (BigQuery, GCS), Python, Domo BI, SAP ECC/S/4, SAP Information Steward/MDG • Built datamarts and dashboards in Domo across supply chain, finance, and operations; standardized KPI definitions and lineage for executive reporting. • Engineered data transformation pipelines (Python/SQL + ELT) merging SAP and external data; supported ML model prototyping and feature extraction. • Developed multi-factor demand forecasting (zip-code weather, 20-year sales history, customer sentiment/trends). • Evaluated SARIMAX, ARIMA, Prophet/NeuralProphet, regression ensembles with 18+ regressors; improved accuracy via higher data granularity. • Instituted experiment tracking to compare models/windowing strategies; captured lift and stability over seasonal horizons. • Authored 100+ Information Steward rules; built scorecards and scheduled health checks across Material/Customer/Vendor masters. • Drove governance workflows (CRUD matrices, audit requirements), aligned data ownership, and standardized remediation via mass-update processes. Key Projects • Demand Forecasting (ML): Multi-factor forecasts combining zip-code weather, 20-year sales history, and sentiment/trend signals; compared SARIMAX/ARIMA/Prophet/NeuralProphet and regression ensembles; accuracy improved with granular features and experiment tracking. • Domo Enterprise Analytics: Built hundreds of ETLs and datamarts; standardized metrics; enabled self-service dashboards for business leaders across operations and finance. #DemandForecasting #TimeSeries #SARIMAX #Prophet #SupplyChainAnalytics #MachineLearning #MLOps #ExperimentTracking #ModelEvaluation #FeatureEngineering #DataEngineering #ELT #BigQuery #Snowflake #Python #BusinessIntelligence #Domo #DataVisualization #KPIs #DataLineage #DataGovernance #DataQuality #SAPMDG #InformationSteward #MasterData #SAPS4HANA #SAPECC #SAPAnalytics #DataMigration #IDoc #GoogleCloud #BigQuery #CloudStorage #DataPlatforms #AnalyticsEngineering

Environment: SAP ECC 6.0 / S/4HANA (1503/1610), SAP BODS 4.2/4.3, Information Steward, MDG, EWM/IM/WM, Fiori, SQL Server; ABAP (enhancements, CDS/OData) • Owned end-to-end migration for 55+ master/transactional objects across STP, PTP, OTC, RTR, LTT, EWM; executed 5 mock runs and a 4-week cutover plan. • Extracted 1.7B+ legacy rows, cleansed/deduped at scale, and loaded ~200M rows into S/4; reconciled $500M+ inventory to the penny across WM/IM/EWM. • Delivered 30+ custom function modules, 5 custom IDocs, and optimized standard IDoc processing; boosted pricing IDoc throughput from ~10K/hr -> ~1M/hr. • Led migrations for plant closures/stock relocation, new acquisitions, and IM->EWM transitions (packaging specs, storage bins, serialized/non-serialized inventory). • Established BODS repositories, staging DBs, and job server groups; standardized remediation, profiling, and dedup phases with reusable transforms. • Implemented MDG for key master data; integrated Information Steward profiling and DQ scorecards; enforced zero-duplicate tolerance prior to loads. • Authored functional specs for Material (all views), Vendor, Customer, Source List, PIR, Routing, Production Version, and configuration objects. • Built post-load reconciliation reports, IDoc monitors, and inventory dashboards; created CDS views and OData for analytics (RTR/OTC scenarios). • Delivered enhancements/exits/BADIs to align data loads with configuration and custom logic; de-risked a complex, multi-plant transformation. #SAP #DataMigration #DataQuality #DataGovernance #AI #GenerativeAI #LLMs #SAPS4HANA #GoogleCloud #EnterpriseAI.

SAP Data Migration & Integration – Led the migration of customer, vendor, and pricing data from JDE to SAP ECC, ensuring seamless transition and data accuracy. Utilized EDI, IDOCs, and BAPIs for large-scale data loads. ABAP Development & Enhancements – Developed BDC programs, Adobe Forms, and custom reports for the SD, MM, and VISTEX modules, improving data processing and reporting efficiency. Data Quality & Profiling – Leveraged SAP Information Steward for data profiling and validation, ensuring data integrity before loading into SAP. Automation & Performance Optimization – Designed automated error-handling mechanisms and optimized conversion routines, enhancing data accuracy and load performance across multiple SAP modules. This role strengthened my expertise in SAP data transformation, migration, and ABAP development, laying the foundation for future large-scale SAP implementations. #SAP #DataMigration #ABAP #SAPIntegration #DataQuality #SAPSD #SAPMM #SAPFICO #SAPVISTEX

My SAP journey began at HCL Technologies, where I had the opportunity to work with multiple clients across industries, gaining hands-on experience in SAP ABAP Development, Data Migration and Business Intelligence. HCL provided a strong foundation by offering SAP training programs and exposure to diverse real-world use cases, which significantly enhanced my technical expertise. ABAP Development – Designed custom reports, enhancements, BADIs, user exits, and BDC programs for FI, PP, MM, and SD modules, optimizing business processes and automation. Partnered with SAP functional teams and business stakeholders to understand data requirements, execute migration strategies, and ensure smooth SAP rollouts. Developed a problem-solving mindset by handling SAP system enhancements, troubleshooting issues, and refining technical solutions.