Wa'el Mohsen

Architectural Modernization and Integration

• Captured and analyzed current architectures to integrate, harmonize, and modernize legacy applications into unified modern architectures.
• Created comprehensive architectural blueprints outlining integration strategies, key components, interfaces, and data flow.
• Identified integration opportunities, defined patterns, and developed strategies to modernize legacy systems, ensuring data consistency, interoperability, and seamless communication.

AI and Data Strategy

• Defined the vision and adoption strategy for data and AI aligned with company goals, leveraging technologies like Azure AI services, GenAI technologies, and OpenAI foundation models.
• Designing & Leading the development of LLM-based claims medical translation platform, travel insurance customer support agent, and sales support platform, incorporating RAG architectures, Prompt Engineering, Azure AI Foundry, AutoGen and Semantic Kernel, Azure cognitive services, Azure integration services, Azure storage & database services, and OpenAI foundation models.
• Designing and implementing evaluation techniques for LLM-based applications, focusing on precision, recall, and accuracy metrics while leveraging tools like Hugging Face, LangChain, and Azure AI services to assess model performance, scalability, and cost-effectiveness.
• Ensure compliance with GDPR, HIPAA, and CCPA standards.

Legacy to Microservices Modernization

• Modernized legacy monolithic applications into scalable, cloud-ready microservices by analyzing codebases, identifying modularization opportunities, applying Domain-Driven Design (DDD) principles, and implementing robust microservice architectures with CI/CD pipelines, Azure DevOps, and effective communication patterns (REST APIs, asynchronous messaging).
• Modernize applications from (.Net framework 3.5) to (.Net 9), revamping applications from ColdFusion, Java to .Net 9 and Blazor-based Apps, and introducing Python to build GenAI Solutions.

Cross-Functional Collaboration and Mentorship

• Collaborated with cross-functional teams to implement AI-driven insights and enhance operational efficiency.
• Provided technical leadership and mentorship, guiding teams on coding standards, Restful APIs, Blazor Web Applications, Flutter Mobile Apps, and MVC frameworks.

Software Architecture and Tool Utilization

• Evaluated and integrated tools like NDepend, SonarQube, and Fortify for static and code analysis, ensuring secure, maintainable, and high-quality codebases.
• Designed and diagrammed software architectures using tools like Visio and Miro, simplifying complex technologies for business leaders.
• Enforced coding standards and security policies using tools like Fortify and conducted load and stress testing for scalable applications.
• Applied expertise in SQL and NoSQL to enhance system architecture and optimize application performance.

API Development and Optimization

• Architected, designed, and developed REST & gRPC APIs, OpenTelemetry, Seq, RabbitMQ ensuring high performance and scalability.
• Build an integration layer to integrate with multiple service providers, such as Zesty CMS, Email services, SMS services, Okta SSO providers, and various GenAI providers (OpenAI, Anthorpic, Hugigng Face).

• News and customer feedback clustering and topic modeling projects using BERTopic, embeddings, and vector databases.
• Enterprise Recommendation Systems for Ministry Services Using Classical and then GenAI Techniques. Techniques included Embedding Models, dimensionality reduction, autoregressive and representation models, topic modeling, and MLOps.
• Arabic Sales & Orders Chatbot for retail food products using RAG, LlamaIndex, CromaDB, LangChain, Pipelines, NER, Synthetic data, data exposure, data normalization, AraBERT, OpenAI APIs, Cohere Re-ranking model, Term-based and Embedding-based similarity search, and LangSmith.
  • Claims Medical translation Platform using Azure AI Foundry, Azure Document Intelligence, Azure OpenAI, Azure Functions, Event Grid, Cosmos DB, Azure AI Search, Azure Monitoring & Insights.
  • Ensure compliance with regulatory requirements and internal risk management standards. and the NIST Responsible AI framework along with HIPAA & GDPR.
• Travel Insurance Customer Support Agent using RAG, LangGraph, and LangSmith.
• Sales support Agents Crew using MS Semantic Kernel Agentic AI framework, OpenAI APIs, MCP, Tools, LangFuse, and RAG.
• Implemented advanced generative AI pipelines using PyTorch, Hugging Face Transformers, and LangChain, ensuring robust data governance and security at each stage of model development.
• Fine-tuning initiatives for large language model on domain-specific tasks (Biology field and General field) and optimizing accuracy while enforcing strict data security and compliance standards. We used PEFT/LoRA & Knowledge Distillation, and RLHF.
  • Applied Explainable AI (XAI) with LIME and SHAP for model interpretability. Ensuring the transparency and fairness in AI-driven decisions.

• Expert Systems for Plant Medical Diagnosis.
• Multiple OCR & ICR projects incorporating Image processing & AI techniques.
• CNN & RNN for multiple biometric projects such as face recognition, Iris recognition, and fingerprints.
• ML decision support system using supervised regression techniques and unsupervised clustering techniques.
• Enterprises Recommendation systems for ministry services.