Danuka Wickramasinghe
Artificial Intelligence Engineer @Airbus
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WORK HISTORY
Artificial Intelligence Engineer @Airbus
City Of Bristol, GB
Engineered Agentic Workflows utilizing LangGraph and Google Vertex AI, achieving a remarkable 90% reduction in process times. • Developed Production RAG systems with a 91% faithfulness rate through Self-RAG and HyDE architectures. • Deployed Local LLMs using vLLM and Docker, ensuring secure and low-latency inference for enhanced performance.
EDUCATION
Cranfield University
Master's degree, Applied Artificial Intelligent
Kingston University
Bachelor's degree, Aerospace Engineering
ABOUT DANUKA WICKRAMASINGHE
With a Master\'s degree in Applied Artificial Intelligence from Cranfield University and a Bachelor\'s in Aerospace Engineering from Kingston University, I focus on creating innovative, compliant AI solutions. My work merges technical expertise with a commitment to safety and transparency in highly regulated industries. At Airbus, I have contributed to engineering Agentic Workflows using LangGraph and Google Vertex AI, achieving a 90% reduction in process times. Additionally, I developed Production RAG systems with a 91% faithfulness rate and deployed Local LLMs for secure, low-latency inference. My core competencies include LangGraph, A2A, Kubernetes, and advanced MLOps practices, ensuring robust and cutting-edge AI deployments.
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