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I am Andrei -Alexandru Bunea, a Senior AI Methodology Researcher and Generative AI Project Lead. I design and deploy scalable AI platforms that blend LLMs, retrieval-augmented generation and multi-agent orchestration to automate engineering tasks, generate reports, and analyze complex data. My focus spans healthcare AI, VR-enabled digital twins, and interpretable models that assist decision-making across high-stakes environments. I enjoy mentoring, cross-disciplinary collaboration, and turning research into impactful, usable solutions for real teams. Beyond my research work, I’m passionate about building inclusive AI systems, advancing clinical insights through multimodal data, and creating immersive interfaces that make advanced technology accessible to engineers and clinicians alike.…I am Andrei -Alexandru Bunea, a Senior AI Methodology Researcher and Generative AI Project Lead. I design and deploy scalable AI platforms that blend LLMs, retrieval-augmented generation and multi-agent orchestration to automate engineering tasks, generate reports, and analyze complex data. My focus spans healthcare AI, VR-enabled digital twins, and interpretable models that assist decision-making across high-stakes environments. I enjoy mentoring, cross-disciplinary collaboration, and turning research into impactful, usable solutions for real teams. Beyond my research work, I’m passionate about building inclusive AI systems, advancing clinical insights through multimodal data, and creating immersive interfaces that make advanced technology accessible to engineers and clinicians alike.

Andrei -Alexandru Bunea

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Andrei -Alexandru Bunea, a Senior AI Methodology Researcher and Generative AI Project Lead. I design and deploy scalable AI platforms that blend LLMs, retrieval-augmented generation and multi-agent orchestration to automate engineering tasks, generate reports, and analyze complex data. My focus spans healthcare AI, VR-enabled digital twins, and interpretable models that assist decision-making across high-stakes environments. I enjoy mentoring, cross-disciplinary collaboration, and turning research into impactful, usable solutions for real teams. Beyond my research work, I’m passionate about building inclusive AI systems, advancing clinical insights through multimodal data, and creating immersive interfaces that make advanced technology accessible to engineers and clinicians alike.…I am Andrei -Alexandru Bunea, a Senior AI Methodology Researcher and Generative AI Project Lead. I design and deploy scalable AI platforms that blend LLMs, retrieval-augmented generation and multi-agent orchestration to automate engineering tasks, generate reports, and analyze complex data. My focus spans healthcare AI, VR-enabled digital twins, and interpretable models that assist decision-making across high-stakes environments. I enjoy mentoring, cross-disciplinary collaboration, and turning research into impactful, usable solutions for real teams. Beyond my research work, I’m passionate about building inclusive AI systems, advancing clinical insights through multimodal data, and creating immersive interfaces that make advanced technology accessible to engineers and clinicians alike.

Available to hire

I am Andrei -Alexandru Bunea, a Senior AI Methodology Researcher and Generative AI Project Lead. I design and deploy scalable AI platforms that blend LLMs, retrieval-augmented generation and multi-agent orchestration to automate engineering tasks, generate reports, and analyze complex data. My focus spans healthcare AI, VR-enabled digital twins, and interpretable models that assist decision-making across high-stakes environments. I enjoy mentoring, cross-disciplinary collaboration, and turning research into impactful, usable solutions for real teams.

Beyond my research work, I’m passionate about building inclusive AI systems, advancing clinical insights through multimodal data, and creating immersive interfaces that make advanced technology accessible to engineers and clinicians alike.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Senior AI Methodology Researcher & Generative AI Project Lead at Infineon Technologies

January 1, 2023 - Present

Conceived, designed and deployed a large-scale agentic AI platform integrating LLMs, Retrieval-Augmented Generation and multi-agent orchestration to automate engineering tasks, generate custom reports, manipulate Excel data and run simulations. Integrated internal APIs and databases to provide personalised agents for specific use cases; implemented context management and a critique LLM to validate responses based on past interactions. Led stakeholder engagement, use-case discovery and roadmap development. The application has been adopted by more than 100 users across four engineering teams, making it a cross-business-line tool. Managed the project lifecycle end-to-end: architecture design, coding (Python, Streamlit, LangChain), CI/CD pipelines, and iterative refactoring.

Technical Lead: Sepsis & FECD AI Projects at National STEP Projects

January 1, 2025 - Present

Leading AI research for two STEP-funded medical projects focused on infectious disease (Sepsis) and ophthalmology (Fuchs endothelial dystrophy). For Sepsis, developing interpretable, real-time clinical risk prediction models based on dynamic EHR and laboratory data. Implementing masked tabular architectures that update predictions as new test results arrive, emphasizing explainability and temporal consistency. For FECD, designing multimodal transformer-based models that integrate anterior segment OCT B-scans with clinical metadata to detect and characterize corneal endothelial dystrophy. Building reproducible preprocessing and training pipelines, incorporating uncertainty estimation, explainability methods, and clinically guided evaluation metrics.

Junior Full-Stack Software Developer at Ingenio Software

January 1, 2020 - January 1, 2022

Developed full-stack web applications for banking platforms using Angular front-ends and Java Spring back-ends. Refactored codebase, improved data management and enhanced user experience through responsive interfaces.