Türkiye
Experienced in designing multi-agent chatbot systems with memory management, RAG architectures, guardrails, and MCP server integration. Skilled in AWS (Bedrock, SageMaker, Lambda, S3, RDS), Azure AI, and open-source LLMs/SLMs with vector databases. Adept at integrating graph databases (Neo4j) to represent complex knowledge structures. Proven track record in building large-scale transcription pipelines and predictive ML models (e.g., churn prediction, student segmentation), including data extraction, preprocessing, and feature engineering from RDS sources, consistently delivering data-driven insights to improve decision-making and strategy.
• Development of datasets within the scope of work package; Literature review, current situation determination studies in the relevant sectors • Compilation of studies on Life Cycle Assessment, cross-checking and reporting of calculations on the basis of unit processes