╭────────────────────────────── CURRICULUM VITAE ──────────────────────────────╮
│ Christian Andersen │
│ 0447 029 803 • cdandersen98@gmail.com │
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╭────────────────────────────── Personal Summary ──────────────────────────────╮
│ Senior AI Engineer specializing in high-concurrency ML systems, local LLM │
│ inference, and edge deployment. Experienced in building end-to-end │
│ multi-modal RAG pipelines and optimizing model performance for │
│ resource-constrained environments under limited direction. Proven track │
│ record of translating complex technical capabilities into actionable tools │
│ for policy and operational stakeholders. │
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Software & Technical Skills
╭────────────────────────────┬─────────────────────────────────────────────────╮
│ Domain / Category │ Technologies & Tools │
├────────────────────────────┼─────────────────────────────────────────────────┤
│ Machine Learning & LLMs │ PyTorch, Hugging Face, vLLM, Triton, Unsloth, │
│ │ LangChain, MLflow, Quantization, Multi-modal │
│ │ RAG │
├────────────────────────────┼─────────────────────────────────────────────────┤
│ Data & Search │ SQL, ChromaDB, ElasticSearch, SQLite, Tableau, │
│ │ Power BI │
├────────────────────────────┼─────────────────────────────────────────────────┤
│ Backend & Web │ Python, FastAPI, JavaScript, TypeScript, React, │
│ │ Vue, Streamlit │
├────────────────────────────┼─────────────────────────────────────────────────┤
│ Infrastructure & DevOps │ AWS (EKS, S3, EC2), Azure, Docker, Podman, │
│ │ Kubernetes, Git, Linux (Bash), CI/CD pipelines │
│ │ and actions │
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Professional Experience
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│ Department of Home Affairs │
│ Data Scientist (AI Engineer) | February 2024 – Current │
│ • Engineered and deployed an end-to-end multi-modal AI pipeline for edge │
│ devices, achieving a 10x throughput increase. │
│ • Orchestrated a technical stack combining ffmpeg, PyTorch/Triton for CV, │
│ and vLLM for vision-language models, integrated with a custom OpenStreetMap │
│ geocoding engine. │
│ • Designed a multi-modal search and RAG system using ChromaDB, enabling │
│ image-to-image and text-to-image retrieval. │
│ • Fine-tuned and quantized LLMs to optimize inference performance for │
│ domain-specific tasks on resource-constrained hardware. │
│ • Built and maintained robust CI/CD pipelines for model deployment, │
│ ensuring reliable transitions from development environments to edge devices. │
│ • Designed and deployed a production-ready LLM summarization web │
│ application with document upload features to support non-technical users. │
│ • Architected a graph-based analysis framework to model complex │
│ national-scale problems, developing predictive models in a zero-literature │
│ domain. │
│ • Built automated SQL data pipelines to ingest disparate datasets for │
│ time-series and sentiment analysis, surfacing trends via interactive Power │
│ BI dashboards for policy stakeholders. │
│ │
├──────────────────────────────────────────────────────────────────────────────┤
│ Metro North Health – Royal Brisbane and Women's Hospital │
│ Administration Officer | July 2023 – December 2023 │
│ • Managed financial administration and stakeholder relations within the │
│ research services finance team, overseeing invoice processing for clinical │
│ trials. │
│ • Authored and updated Standard Operating Procedures (SOPs) for invoice │
│ management, streamlining audit trails and reducing payment overhead. │
│ • Coordinated the 2023 Herston Precinct Symposium, managing logistics, │
│ sponsorship procurement, and event scheduling. │
│ │
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Education & Training
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│ Master of Data Science │
│ Awarded Dean's Commendation for Academic Excellence (2021) │
│ │
├──────────────────────────────────────────────────────────────────────────────┤
│ Bachelor of Mathematics (Major in Pure Mathematics, Minor in Computer │
│ Science) │
│ Awarded Dean's Commendations for Academic Excellence (2016, 2017) │
│ │
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╭───────────────────────────────── References ─────────────────────────────────╮
│ Available on request │
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