I’m a senior AI and backend engineer with over 10 years of experience building production ML, LLM, and data driven systems across fintech, health, and SaaS. I’ve designed end to end solutions from data pipelines and models to cloud deployment and MLOps, always focused on reliability and real business impact. What sets me apart is that I’m very hands on, calm with complex systems, and comfortable taking full ownership from idea to production.

Karl-Gustav Petersen

I’m a senior AI and backend engineer with over 10 years of experience building production ML, LLM, and data driven systems across fintech, health, and SaaS. I’ve designed end to end solutions from data pipelines and models to cloud deployment and MLOps, always focused on reliability and real business impact. What sets me apart is that I’m very hands on, calm with complex systems, and comfortable taking full ownership from idea to production.

Available to hire

I’m a senior AI and backend engineer with over 10 years of experience building production ML, LLM, and data driven systems across fintech, health, and SaaS. I’ve designed end to end solutions from data pipelines and models to cloud deployment and MLOps, always focused on reliability and real business impact. What sets me apart is that I’m very hands on, calm with complex systems, and comfortable taking full ownership from idea to production.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior AI/ML Engineer at Uinno
April 1, 2024 - January 1, 2026
Designed and deployed ML systems using Python, PyTorch, TensorFlow, and Hugging Face Transformers to analyze property images and predict maintenance needs and repair risks. Developed and fine-tuned computer vision models (ResNet50, EfficientNet, ViT) with transfer learning and data augmentation for robust performance across diverse conditions. Built FastAPI inference microservices, containerized with Docker and deployed on Kubernetes to support scalable production workloads. Implemented a full ML Ops pipeline with DVC, MLflow, and Jenkins CI/CD enabling automated delivery to AWS EKS. Optimized inference with ONNX conversion and TensorRT acceleration, reducing GPU utilization and image processing latency. Created LLM-powered features using LangChain, Hugging Face, and OpenAI APIs for contextual property insights. Integrated real-time inference into user-facing applications via AWS Lambda, API Gateway, and S3 triggers for seamless delivery of predictive maintenance insights. Led cross-fu

Education

Bachelor's Degree, Computer Science at University of Tartu
September 1, 2011 - May 1, 2015

Qualifications

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Industry Experience

Financial Services, Healthcare, Real Estate & Construction, Software & Internet