Hire Ahamad S. - Generative AI Architect

* Designed and delivered the BHW Enterprise Agentic AI Platform, an AI-powered operational intelligence solution that automated production support, enterprise knowledge retrieval, and incident diagnostics across Deutsche Bank's data engineering ecosystem using Generative AI, Agentic AI, RAG, LLMs, LangGraph, LangChain, Vector Databases, and GCP. * Key Contributions * Designed enterprise RAG pipelines using Apache Spark, Google Cloud Dataflow, Apache Beam, and LangChain for semantic enterprise knowledge retrieval. * Built document ingestion, semantic chunking, embedding pipelines, and vector search using PostgreSQL (pgvector) and Pinecone. * Migrated the SDS Downloader from Java Executor Service to Google Cloud Dataflow, improving processing throughput by 50%. * Architected LangGraph-based multi-agent workflows with conversation memory, conditional routing, and Human-in-the-Loop (HITL) approvals. * Developed specialized AI Agents to analyze Spark/Dataproc, Orchestrator, OFC, and Notification logs for automated root cause analysis. * Integrated RAG with Confluence, runbooks, metadata, and operational documentation to provide context-aware AI responses. * Implemented Query Decomposition, Reciprocal Rank Fusion (RRF), and HyDE to improve retrieval accuracy and reduce hallucinations. * Developed an LLM-powered Root Cause Classification Agent and an AI Alert Enrichment Agent to generate incident summaries, business impact, confidence scores, and remediation recommendations. * Integrated LangSmith for prompt versioning, execution tracing, observability, and token analytics. * Collaborated with enterprise architects and platform teams to define AI architecture standards and production-ready deployment strategies, significantly improving production support efficiency through AI-driven automation.

* Delivered enterprise data engineering and cloud solutions for leading global banking and industrial clients including Wells Fargo, Morgan Stanley, and General Electric (GE). Designed and developed scalable Big Data platforms, Spring Boot microservices, distributed data processing pipelines, and enterprise integration solutions supporting banking, investment management, and Industrial IoT initiatives. * Client Engagements * Wells Fargo – Enterprise Data Lake Platform * Designed and developed Spring Boot microservices for enterprise data ingestion, validation, and transformation. * Built scalable Apache Spark and Hive pipelines for processing multi-terabyte financial datasets. * Implemented Autosys/JIL scheduling and Unix-based workflow orchestration. * Led TCP11 security remediation by upgrading 40+ Maven dependencies. * Optimized Spark and Hive workloads to improve performance and reliability. * Technologies: Java, Spring Boot, Apache Spark, Hive, Hadoop, Autosys, Unix, DB2 * Morgan Stanley – Software Wind Down * Developed Spring Boot services and Spring Batch applications supporting enterprise application lifecycle management. * Designed DB2 database schemas and implemented PL/SQL procedures. * Worked on transaction management, performance tuning, and secure application decommissioning. * Technologies: Java, Spring Boot, Spring Batch, DB2, PL/SQL * General Electric – GE Digital Analytics * Developed Java-based ingestion services for the GE Predix Industrial IoT platform. * Built REST-based integration components and optimized time-series data processing pipelines. * Collaborated with analytics teams to support predictive maintenance and operational monitoring. * Technologies: Java, GE Predix, REST APIs

* Developed enterprise analytics and reporting solutions for the Insight Advantage platform, enabling customers to gain operational insights through interactive dashboards, business intelligence, and reporting capabilities. Designed scalable Java-based applications and RESTful services supporting background screening and HR technology operations while collaborating with cross-functional teams to deliver high-quality enterprise software. * Key Contributions * Designed and developed enterprise web applications using Java, GWT, Hibernate, and JPA. * Built RESTful APIs to support enterprise reporting and analytics capabilities. * Developed persistence layers using Hibernate and JPA for high-performance database operations. * Participated in application architecture discussions, code reviews, and technical design sessions. * Performed unit testing and supported SIT/UAT activities to ensure high-quality software delivery. * Resolved production issues and optimized SQL queries and Hibernate performance to improve application responsiveness. * Collaborated closely with QA teams, business analysts, and stakeholders to deliver enterprise reporting solutions.