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Hi, I'm Max, a Machine Learning Engineer specializing in developing and deploying agentic AI systems, MLOps frameworks, and end-to-end machine learning solutions in production environments. Over the years, I have successfully delivered projects in fraud detection, customer segmentation, delivery time estimation, forecasting, and recommendation systems, particularly for finance and e-commerce clients. I enjoy bridging the gap between advanced AI modeling and DevOps best practices to create scalable and secure AI products. My strong background in both infrastructure and model design allows me to build robust AI solutions that care deeply about data privacy, efficiency, and user experience. Holding a master's degree in Machine Learning from KTH Royal Institute of Technology and having peer-reviewed research published at AAAI, I continuously aspire to push the boundaries of AI innovation in industry settings.…Hi, I'm Max, a Machine Learning Engineer specializing in developing and deploying agentic AI systems, MLOps frameworks, and end-to-end machine learning solutions in production environments. Over the years, I have successfully delivered projects in fraud detection, customer segmentation, delivery time estimation, forecasting, and recommendation systems, particularly for finance and e-commerce clients. I enjoy bridging the gap between advanced AI modeling and DevOps best practices to create scalable and secure AI products. My strong background in both infrastructure and model design allows me to build robust AI solutions that care deeply about data privacy, efficiency, and user experience. Holding a master's degree in Machine Learning from KTH Royal Institute of Technology and having peer-reviewed research published at AAAI, I continuously aspire to push the boundaries of AI innovation in industry settings.

Max

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Hi, I'm Max, a Machine Learning Engineer specializing in developing and deploying agentic AI systems, MLOps frameworks, and end-to-end machine learning solutions in production environments. Over the years, I have successfully delivered projects in fraud detection, customer segmentation, delivery time estimation, forecasting, and recommendation systems, particularly for finance and e-commerce clients. I enjoy bridging the gap between advanced AI modeling and DevOps best practices to create scalable and secure AI products. My strong background in both infrastructure and model design allows me to build robust AI solutions that care deeply about data privacy, efficiency, and user experience. Holding a master's degree in Machine Learning from KTH Royal Institute of Technology and having peer-reviewed research published at AAAI, I continuously aspire to push the boundaries of AI innovation in industry settings.…Hi, I'm Max, a Machine Learning Engineer specializing in developing and deploying agentic AI systems, MLOps frameworks, and end-to-end machine learning solutions in production environments. Over the years, I have successfully delivered projects in fraud detection, customer segmentation, delivery time estimation, forecasting, and recommendation systems, particularly for finance and e-commerce clients. I enjoy bridging the gap between advanced AI modeling and DevOps best practices to create scalable and secure AI products. My strong background in both infrastructure and model design allows me to build robust AI solutions that care deeply about data privacy, efficiency, and user experience. Holding a master's degree in Machine Learning from KTH Royal Institute of Technology and having peer-reviewed research published at AAAI, I continuously aspire to push the boundaries of AI innovation in industry settings.

Available to hire

Hi, I’m Max, a Machine Learning Engineer specializing in developing and deploying agentic AI systems, MLOps frameworks, and end-to-end machine learning solutions in production environments. Over the years, I have successfully delivered projects in fraud detection, customer segmentation, delivery time estimation, forecasting, and recommendation systems, particularly for finance and e-commerce clients. I enjoy bridging the gap between advanced AI modeling and DevOps best practices to create scalable and secure AI products.

My strong background in both infrastructure and model design allows me to build robust AI solutions that care deeply about data privacy, efficiency, and user experience. Holding a master’s degree in Machine Learning from KTH Royal Institute of Technology and having peer-reviewed research published at AAAI, I continuously aspire to push the boundaries of AI innovation in industry settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Machine Learning Engineer at ekona, Basel

June 1, 2025 - Present

Developed a multi-agent text-to-analytics platform incorporating LangGraph, FastAPI, React, and Python backend with a PostgreSQL database for managing agent checkpoints and chat history. Integrated Langfuse for AgentOps and feedback during beta testing. Orchestrated eight specialized AI agents for query routing, data processing, code generation, and visualization with real-time streaming responses. Ensured sensitive PII was not sent to LLM providers while preserving analytic capabilities. Used Pydantic for input-output validation and generated Python clients via FastAPI. Deployed the solution as an Azure Web App with authentication, session caching, and full chat history functionality.

Machine Learning Engineer at MODULAI, Basel

May 31, 2025 - August 27, 2025

Built MLOps infrastructure using MLflow, Cloudera ML, AWS SageMaker, and GitHub Actions to enable CI/CD pipelines. Enhanced fraud detection models with XGBoost focusing on dataset improvements and advanced weighting for a major Canadian payment provider. Managed imbalanced data by sampling and maintaining original fraud-legit ratios. Delivered a fully automated CI/CD system reducing false positive rates by over 70%.

Machine Learning Engineer at NAVER Corp, Seoul

June 30, 2024 - August 27, 2025

Researched and developed a text-to-customer segmentation framework leveraging LLMs, diffusion models, and contrastive learning. Developed a delivery time estimation pipeline using Polars, CatBoost, and Sacred, supporting millions of e-commerce purchases daily in Seoul. Improved demand forecasting with a CatBoost promotion model that increased accuracy by 19%. Built a demand forecasting service deployed on an in-house Kubeflow wrapper using GluonTS and Autoformer. Created an AutoML CLI in Go integrating GluonTS models, CPCV, and Optuna for hyperparameter optimization. Conducted fine-tuning experiments for HyperCLOVA with LoRA and investigated explainability methods for transformer-based models.

Machine Learning Engineer at MODULAI, Stockholm

July 31, 2021 - August 27, 2025

Developed an end-to-end product recommendation system for one of Sweden’s largest retail stores using LightFM and deployed it as an Azure App. Also contributed to credit scoring projects for a northern European bank using scikit-learn, Pandas, and DVC for pipeline management.

Machine Learning Engineer at PELTARION

December 31, 2020 - August 27, 2025

Worked on active learning for cross-lingual language models with HuggingFace, PyTorch, and Sacred experiment tracking. Explored performance improvements on low-resource languages for object detection models.

AI Engineer at NAVER CLOVA AI

December 31, 2020 - August 27, 2025

Contributed to building an active learning platform to reduce annotation costs for large datasets. Implemented state-of-the-art active learning algorithms primarily for object detection and integrated them into production pipelines with Apache Airflow.

Master Thesis Student at EA SEED

December 31, 2019 - August 27, 2025

Developed a generative model to synthesize a 3D view from 2D sketch images using Generative Query Networks (GQN). Modified and retrained the model on a custom Blender-generated dataset, leveraging PyTorch and Google Cloud Platform for training.