Omar Yaghi

Developed comprehensive test plans and advanced Excel reports using specialized QA tools, improving defect tracking and reducing reporting time by 25%.

Implemented automated testing frameworks, increasing test coverage and efficiency by 30%, while reducing manual errors.

Conducted ETL testing for data pipelines, validating data integrity and transformation logic for large-scale datasets using Python-based scripts.

Performed QA for Data Engineering workflows, ensuring accurate ingestion, transformation, and storage of
structured and unstructured data.

Tested LLM-based applications using DeepEval for evaluation metrics and Ollama for local model validation,
improving reliability and reducing hallucination rates.

Conducted thorough User Acceptance Testing (UAT), ensuring 100% compliance with client requirements and
boosting overall user satisfaction scores.

Championed QA best practices and continuous improvement initiatives, reducing post-release defects by 15% and elevating overall product quality.

• Designed and implemented Model Context Protocols (MCPs) in Python, utilizing FastMCP to efficiently manage
dynamic context windows for large language models, improving inference accuracy and responsiveness.
• Enhanced AI model interaction through pgvector integration, enabling high-performance semantic search and
embedding retrieval within Python-based wrappers for intelligent context enrichment.
• Developed interactive dashboards in Power BI and Microsoft Fabric to visualize business KPIs, improving data-driven
decision-making for internal stakeholders.
• Utilized Databricks and Microsoft Azure for data cleaning, transformation, and pipeline automation, ensuring high
quality and scalable data for reporting.
• Collaborated with cross-functional teams using Figma to design and prototype analytics solutions, aligning business
requirements with data insights.
• Utilized advanced Excel formulas, data analysis techniques, and visualizations (charts, dashboards) to support
decision-making and track project performance.
• Coordinated with external stakeholders, including senior consultants and managers to align deliverables with business
needs
• Collaborated with senior consultants in research, documentation, and preparation of materials for internal and
external AI initiatives.

Identified data monetization opportunities to generate new revenue streams; projected to increase the clients revenues
by AED +10M.
Supported the development of AI-driven forecasting models to enhance decision-making.
Conducted RFP analysis to align project deliverables with client objectives.
Assessed the clients software infrastructure and outlined a roadmap for transformation.

Designed and implemented end-to-end process automation using Blue Prism, improving process efficiency by
automating repetitive tasks.
Configured Blue Prism to dynamically interact with web applications, utilizing Application Modeler for precise element
identification.

Designed and implemented Model Context Protocols (MCPs) in Python using FastMCP, efficiently managing
dynamic context windows for large language models, improving inference accuracy and responsiveness by 20%.
Implemented prompt engineering strategies and context-aware retrieval techniques, improving model output
relevance and reducing hallucination rates by 25%.

Developed interactive dashboards in Power BI and Microsoft Fabric to visualize business KPIs, improving data-driven
decision-making by 30% for internal stakeholders.
Utilized Databricks and Microsoft Azure for data cleaning, transformation, and pipeline automation, ensuring high
quality and scalable data for reporting.

• Designed and implemented end-to-end process automation using Blue Prism, improving process efficiency by
automating repetitive tasks.
• Proficient in utilizing Regular Expressions (Regex) for text parsing, data extraction, and patern matching in automation
projects, improving efficiency in processing complex data formats.
• Configured Blue Prism to dynamically interact with web applications, utilizing Application Modeler for precise element
identification.

Build CRUD operations with Hibernate JPA and manage entity relationships in Java & Spring Boot.
Gaining expertise in Security, Swagger, Actuator, and Kafka.
Practiced in end-to-end development, prepared to contribute to production-level projects.