Edita Fernandes

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Architected intelligent supply chain tracking agents using LangChain/LangGraph and Azure OpenAI, enabling real
time visibility and autonomous decision-making across global logistics work ows.
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Built low-code and pro-code automation solutions for demand forecasting and inventory optimisation, integrating
structured supply chain data with LLM-driven reasoning pipelines.
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Engineered Azure Functions-based serverless microservices to process and route supply chain events, signi cantly
reducing manual intervention in operational work ows.
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Analysed complex supply chain datasets to surface demand signals and operational bottlenecks, translating ndings
into actionable model features and automation triggers.
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Collaborated with cross-functional product, data, and operations teams to translate business requirements into
scalable agentic AI solutions aligned with Blue Yonder's platform strategy

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Developed and deployed an AI-powered voice-to-text solution using Azure Cognitive Services, reducing documen
tation time by 35% and improving work ow e ciency for healthcare clients.
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Led the EG Doctrans intelligent document processing system using AWS services, Cohere, and Anthropic LLMs,
achieving 92% accuracy in domain-speci c medical data extraction with OCR and NLP.
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Built EG text2SQL using ne-tuned transformer models, enabling non-technical business users to query enterprise
databases seamlessly in natural language.
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Implemented a GDPR-compliant PII detection system using NLP and Azure Text Analytics, reducing manual
review time by 70% across client organisations.
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Created customer segmentation models using clustering algorithms, increasing marketing conversion rates by
22%; designed a predictive maintenance platform reducing equipment downtime by 30%.
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Deployed production-grade AI applications via Docker-based CI/CD pipelines; built real-time cost monitoring dash
boards integrating AWS ECS, ECR, and Lambda with Power BI and Tableau.
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Conducted stakeholder training workshops, achieving a 95% adoption rate across client organisations.

ˆ Applied Statistical Quality Control techniques to production processes, reducing defect rates by 45%.
ˆ Engineered real-time monitoring dashboards that improved response time to process deviations by 20% and decision
making speed by 15%.
ˆ Optimised an inventory management system with advanced analytics features, increasing operational trans
parency by 35%.

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Analysed large-scale passenger datasets to identify demand patterns, directly supporting revenue management and
route planning decisions.
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Built revenue and pricing analytics models using historical booking data, contributing to dynamic fare optimisation
strategies across key routes.
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Conducted operations data analysis to identify ight delay patterns and surface ine ciencies across the network.
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Designed Tableau dashboards for senior stakeholders, translating complex aviation data into clear, actionable business
intelligence.