Alexandra Mastrogianni

Lead development of Student Agencies’ Zoho-based management platform powering logistics, storage, and marketing operations across multiple business units serving over 3,000 customers annually. Engineered automated workflows and API integrations that reduced manual processing by 40% and cut operational costs by 25% across logistics, billing, and scheduling systems. Improved system performance, data accuracy, and scalability for operations serving 3,000+ customers annually. Coordinated with executives and developers to align software features with business needs.

Designing optimization and simulation models in Python to improve food distribution efficiency for New York Food Security Programs. Building demand forecasting pipelines that integrate demographic and geographic data to better allocate resources across sites and people in need. Exploring stochastic optimization methods to evaluate routing and supply strategies under uncertainty. Collaborating with faculty and graduate researchers to generate data-driven insights for community partners

Built and maintained responsive, scalable web applications using React.js, JavaScript, HTML/CSS, improving user experience and platform performance. Refactored frontend architecture for scalability and responsiveness, enhancing load times and consistency across devices. Improved accessibility and SEO through semantic HTML and WCAG-compliant design standards, expanding platform reach. Collaborated with stakeholders to align technical improvements with business goals, ensuring deliverables supported user growth and retention.

Designed and developed real-time logistics forecasting tools leveraging Node.js and integrating multiple external APIs (traffic, weather, freight) to aggregate dynamic data streams and enhance supply chain visibility and responsiveness. Built data pipelines to automate the extraction, transformation, and delivery of logistics data, supporting real-time updates and enabling proactive operational decision-making. Applied machine learning models to optimize demand forecasting accuracy and routing efficiency, leveraging predictive analytics to reduce delays and improve lead time projections. Developed interactive dashboards and visual reporting tools using modern data visualization libraries, translating complex datasets into actionable insights for supply chain optimization, inventory management, and transportation planning. Collaborated with cross-functional teams to identify key performance metrics, refine forecasting algorithms, and improve the reliability of predictive outputs for logistics stakeholders.

Designed and implemented data ingestion pipelines (Node.js, TypeScript) to automate processing of structured and unstructured datasets (CSV, PDF, SQL), improving data flow for AI systems. Built backend API services supporting AI agents in delivering real-time querying, insights, and data visualization outputs for end users. Integrated backend systems with React.js frontend to deliver live AI-powered dashboards, improving access to data-driven insights. Improved scalability through asynchronous processing, caching strategies, and API optimizations, reducing latency and supporting higher data volumes.

Engineered AI-driven backend services using Node.js and TypeScript to enhance NLP performance in multilingual dubbing workflows. Optimized backend infrastructure and RESTful API integrations to improve latency and system scalability for AI components. Enhanced React.js frontend to support real-time AI audio and text processing with iterative debugging and testing. Refined token management strategies to improve NLP accuracy and API efficiency.

Higher Level: Physics, Mathematics AA, English | Standard Level: Chemistry, Economics, Modern Greek Language Extended Essay: Analyzed mathematical algorithms to improve GPS accuracy