Fuat Yazar

• Develop full-lifecycle Java/Spring Boot backend services for regulated scientific diagnostic platforms.
• Architect scalable REST APIs supporting real-time data visualization and analysis for scientific and research teams.
• Engineer event-driven pipelines for high-throughput assay interpretation and pathogen differentiation.
• Participate in architecture reviews, SDLC planning, and technical design activities supporting enterprise software reliability.
• Author regulatory documentation and procedural guidelines required for product release and compliance.

Consulting & full-time engagements across backend services, integrations, and AI-enabled systems.

• Took ownership of a guest risk-analysis platform, completing and enhancing the system and its third-party integrations.
• Developed Java/Spring Boot applications and REST services supporting email, review management, and platform workflows.
• Built asynchronous, event-driven workflows using AWS SQS for guest data collection, verification, risk analysis, and notifications.
• Developed B2B integrations and webhook services using Node.js, TypeScript, and MongoDB.
• Built customer-facing host portal using React, Node.js, TypeScript, and Supabase.
• Integrated AI/LLM capabilities and enhanced existing AI-driven guest analysis workflows.
• Deployed services across AWS Lambda and EC2 with S3, Route 53, and IAM.

• Built and maintained cloud-native microservices supporting credit-card application and customer onboarding workflows.
• Developed production services using Java/Spring Boot, Python, and Node.js across AWS Lambda and EC2.
• Built event-driven processing using AWS SQS, progressing customer workflows through application, approval, online enrollment, and a 90-day onboarding lifecycle.
• Processed onboarding events (paperless statements, automatic payments, authorized users, sign-up bonuses) and published downstream events for compliance, fraud detection, and analytics.
• Designed distributed application data using Amazon DynamoDB.
• Improved production observability using Splunk and New Relic.
• Contributed to frontend development using Angular and TypeScript.

• Implemented backend architecture and core features for a real-time container terminal automation platform.
• Designed distributed services for crane tracking, logistics monitoring, and asset management across global terminals.
• Developed high-concurrency Java/Spring systems supporting real-time industrial automation environments.
• Implemented business workflows and optimization logic using Hibernate, JBPM, and ILOG.
• Supported modernization of an on-premise enterprise platform into distributed services and cloud-oriented architecture.

Client: Bank of America

• Developed Python-based financial data workflow services processing contract information from multiple upstream services.
• Built REST-based backend services consumed by an AngularJS application for financial data review and verification.
• Implemented financial data processing using Python and an internal NoSQL database.
• Digitized global Forex processing workflows and developed UI automation using Selenium and Jasmine.

• Developed high-frequency rebate calculation systems for derivatives trading platforms.
• Automated back-office workflows, reporting, and email distribution using C#/.NET.
• Improved trade reconciliation processes handling high-volume Microsoft SQL Server datasets.
• Built internal desktop tools using C#/.NET, WPF, and MVVM architecture.

• Maintained and enhanced the Student-Scout platform supporting large-scale data integrations.
• Developed SOAP and REST integrations for reliable third-party system communication.
• Executed migration of legacy applications to JEE/Tomcat/JBoss environments.
• Automated high-volume batch workflows using Spring Boot, Apache Camel, and Jasper Reports.

• Developed automation and optimization frameworks for large-scale container terminal operations.
• Built cargo reservation systems, logistics modules, and business workflows using Java, Hibernate, JBPM, and ILOG.
• Delivered port logistics and cargo management features for global terminal operators.

• Visual environment for designing, simulating, executing, and evaluating agentic AI workflows.
• Backend in Python/FastAPI with workflow execution, graph traversal, LLM integration, and evaluation services.
• Provider-neutral workflow model separating workflow definitions from the visual representation.
• Execution tracing and simulation supporting mocked responses, real LLM calls, and human-in-the-loop execution.

• Backend scoring engine integrating LLM APIs for automated interview evaluation.
• Role-based authentication and row-level security protecting sensitive evaluation data.
• Stateful prompt workflows and REST services supporting the evaluation process.

• AI-powered restaurant support chatbot using Node.js, React, Gemini APIs, and Gemini File Service.