Ali Nour Eldin

• Designed and implemented a Python-based multi-agent system using LangGraph and Nvidia LLM APIs, leveraging a GraphRAG-powered knowledge graph for cybersecurity question answering and service recommendations. • Built an AI pipeline to structure and retrieve cybersecurity assessment questions using embeddings, clustering, and LLMs, reducion costs by 40% versus LLM-only approaches. • Benchmarked classical ML approaches against LLM-based methods and implemented automated quality evaluation using LLM-as-a-Judge techniques. • Mentored PhD students on implementing advanced AI approaches, delivering best practices and hands-on guidance in GenAI. • Designed and delivered a process mining workshop featuring a live Celonis demonstration. • Supervised 7 engineering students on diverse projects involving LLMs, Retrieval-Augmented Generation (RAG), and Knowledge Graphs (KG).

• Defined the end-to-end architecture and built an MVP of an agentic LLM pipeline automating process implementation by generating workflow logic and database schemas. • Built the AI Agent (generation + validation + human-in-the-loop) with state and memory management and tool/API calling to execute workflow assembly steps. • Implemented the production backend and deployment stack using a Spring Boot + Flowable platform exposing REST APIs for integrations and payment processing, shipped via Docker and GitHub Actions CI/CD on Azure. • Presented demos and progress updates to clients/stakeholders and produced technical integration documentation for the internal AI Factory (model deployment, notifications, payment).

• Architected and built a production-ready Python LLM library (OpenAI, LangChain) for the R&D team, standardizing prompting, guardrails, hallucination mitigation, and evaluation. • Delivered multiple low-code/BPM PoCs for AI-assisted process automation and data management, packaging validated prototypes as deployable services (Docker, integration-ready APIs). • Developed a novel process discovery approach enabling the detection of complex execution patterns not captured by traditional algorithms. • Supervised student projects by defining scope, breaking down tasks, setting milestones, and ensuring time management to deliver working prototypes and demos. • Produced R&D reporting and supported CIR submissions by documenting experiments, results, and innovation evidence in a compliance-ready format. •  Presented outcomes in conferences, adapting content for both technical and non-technical audiences.

• Built and delivered production fintech platforms, including a MetaTrader5-integrated CRM and a secure E-Wallet, streamlining trading operations and payment workflows. • Collaborated with brokers, operations, and compliance stakeholders to gather requirements, translate business needs into user stories, and drive iterative feature delivery. • Designed and implemented scalable system architecture, including REST APIs, database schemas, and third-party integrations, with features such as KYC verification, biometric authentication, encrypted transactions, and compliance controls. • Produced technical documentation (API references, deployment guides, runbooks) and deployed cloud-native applications with secure infrastructure and real-time notification systems.

• Automated a DataOps pipeline for face extraction from videos, utilizing advanced face detection, cropping, and super-resolution techniques. • Fine-tuned generative AI models (StyleGAN2, using pytorch) on curated datasets, achieving high-fidelity cartoon face generation with GCP-based GPU acceleration. • Developed and deployed a Flask-based web app for dynamic face generation, optimizing model performance on Google Cloud Platform.

• Administered server operations and network systems, ensuring reliable IT infrastructure to support hospital-wide operations. • Provided technical support and troubleshooting, maintaining seamless IT functionality to support critical healthcare services. • Developed applications for lab data integration and database conversion, automating workflows and reducing manual effort by 100%. 𝗦𝗸𝗶𝗹𝗹𝘀: C#, SQL, VMware ESXi, Windows Server, Access, Networking.

• Created scalable process discovery solutions using Neo4j and Cypher, improving real-time business process analysis. • Designed graph-based models for object-centric event data, enhancing data integration and performance over traditional systems. 𝗦𝗸𝗶𝗹𝗹𝘀: Graph Theory, Process Mining, Python, Graph Database(Cypher).