Buse Bircan

Remote

• •AI Architecture & Strategy: Advise C-level leadership on AI adoption and define company-wide AI architecture and MLOps practices. Establish reliability standards including evaluation datasets, guardrails, and safe-failure behaviours.
• •Production LLM Systems: Designed and deployed Thermy, a retrieval-augmented AI assistant grounded in internal policy documentation. Implemented semantic chunking, metadata-filtered retrieval, structured outputs, and refusal logic to prevent unsupported answers. Built monitoring and regression testing workflows to ensure predictable behaviour across model and data changes.
• •AI Product Engineering: Leading development of an AI-driven Home Energy Planner web application. Defined system architecture, safety constraints, and decision validation layers separating model reasoning from application logic.
• •Automation: Engineered an end-to-end surveyor allocation system combining database logic, rules, and AI-assisted reasoning. Automated operational decision workflows previously handled manually.

Remote

• •MLOps: Built and deployed a Gradient Boosting model for EPC rating prediction with 97% accuracy, establishing the foundation for automated energy assessments.
• •Data Engineering: Developed scalable ETL pipelines integrating Shopify, Monday.com, and government open data, enabling real-time business intelligence.
• •Stakeholder Collaboration: Partnered with operations and sales teams to enhance B2B reporting systems, translating technical data into actionable business insights.

Remote

• •Recommendation Engine: Developed a personalized home recommendation engine, improving recommendation quality and reducing manual processing time.
• •Geospatial Analysis: Created a GIS-based scheduling tool that improved surveyor efficiency and reduced travel time.
• •Resource Optimization: Led clustering analysis that directly informed regional operations realignment and resource optimization.

• •Analysis and tool creation for optimal inventory and ordering levels using SAP and Excel VBA.
• •Order placement and order tracking in collaboration with logistics team with the main goal of providing flexibility in demand-driven production plan changes, with all required supplier communication.
• •Collaborative projects/tasks with other planning (supply/demand) and production teams to depreciate excess stock of materials.
• •Inventory level projections for inventory value and warehouse capacity insights and share them with related teams and management.