Hire the Best Machine Learning Engineers
in Sweden

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

Data Scientist & Machine Learning Engineer specializing in production-ready machine learning systems that solve practical problems. I’ve delivered over $2.5M in measurable annual savings by designing, deploying, and unblocking machine learning solutions across Manufacturing, Recruitment, Sales, and Marketing. I adapt data pipelines, models, and evaluation strategies to fit the needs and goals of each business function. Core Expertise: 📌 End-to-end machine learning systems 📌 Data pipelines for robust workflows 📌 Domain-tailored solutions 📌 MLOps aligned with existing workflows 📌 Strategy for ML, data, and platforms Project Highlights: 📈 Built ML capability from zero over 5.5 years at a major steel plant as its first Data Scientist. Scaled the team to 5 people by hiring 2 Data Scientists and 2 Data Engineers, and established an MLOps way-of-working that increased project output by 3.5x. 📈 Removed a key blocker to ML integration by aligning 5 departments around a shared analytics platform, enabling reliable data visualization and model validation — resulting in broad adoption and $1.5M in annual cost savings. 📈 Revived a stalled machine learning model by developing a custom evaluation algorithm, achieving $600K in annual cost savings. 📈 Developed and maintained an end-to-end ML-based image recognition system for a steel plant, resulting in $500K in annual cost savings. 📈 Designed and implemented a data pipeline that aggregated and transferred over 2,300 sensor values to a forecasting model, enabling predictive maintenance for a plate furnace. What I Bring to Every Project: 🔷 Adapting quickly across domains, with a proven ability to learn new fields fast 🔷 Simplifying complex concepts so decision-makers can act with confidence 🔷 Collaborating effectively in cross-functional teams 🔷 Applying both deep and broad expertise in data science and machine learning 🔷 Ensuring clarity and alignment throughout the project 🔷 Delivering well-documented code and smooth handover for long-term maintainability Technical Skills: ❇️ Machine Learning Types (Classification, Regression, Image Recognition, Ranking Models) ❇️ Machine Learning Development (scikit-learn, PyTorch, XGBoost, SHAP) ❇️ Data Engineering (Pandas, SQL, Apache Airflow, Apache Iceberg, Trino, dbt, Databricks) ❇️ Deployment (Docker, FastAPI, Github Actions) ❇️ Data Visualization (Matplotlib, Seaborn, Interactive Dashboards, Grafana) ❇️ Python (Pandas, Numpy, SciPy) I care deeply about delivering practically useful solutions that are capable of delivering value for the long-term. I achieve this by respecting domain knowledge, building reliable systems, and keeping a clear line of sight to business value. I’m focused on projects where my experience can make a meaningful impact and where I can ensure that the delivery meets a high standard. If you’re looking for an experienced Data Scientist who focuses on business value, not just code, I’d love to explore how we can unlock value from your data.

⭐ Complimentary 15 min consulting call for all new clients⭐ After over 5 years as an EY Sustainability Specialist and the sustainability manager to one of the biggest Nordic consumer goods brands, I truly have in depth knowledge of the field. I will only take on clients who I know I have the skills and capacity to support – so if you need someone with ESG expertise please reach out and we can see if I’m the right person to help deliver your project. I specialise in supporting clients to: 🌿 Write and review sustainability reports aligned with legislation (e.g. EUDR, ESRS, CBAM, EPR, WEEE and many others) 🌿 Develop GHG Protocol aligned emissions inventory for scope 1, 2, 3 emissions 🌿 Develop an ESG or sustainability strategy 🌿 Develop a decarbonisation roadmap 🌿 Conduct climate risk assessments (physical and transition risks) 🌿 Create ESG-related KPIs 🌿 Conduct gap assessments for key reporting frameworks I also have extensive knowledge around key sustainability frameworks. Several I've worked with include: 📝 Taskforce for Nature-Related Financial Disclosures (TNFD) 📝 Taskforce for Climate-Related Financial Disclosures (TCFD) 📝 European Sustainability Reporting Standards (ESRS) 📝 Voluntary reporting standards for SMEs (VSME) 📝 Global Reporting Initiative (GRI) 📝 Greenhouse Gas Protocol 📝 Science Based Targets Initiative (SBTi) 📝 EcoVadis My educational background is data driven. I have multiple degrees, including: 🎓 Bachelor of Physics and Applied Mathematics 🎓 Masters of Applied mathematics and modelling - applied to Climate risk assessments This diverse knowledge base provides a strong foundation in data driven processes to develop strategy and targets that are achievable and relevant to your business. I offer a free 15 minute consult to all new clients to ensure I'm the right fit for your project. I’m looking forward to helping you bring sustainability into your workplace. Kind regards, Martin

I worked as an engineer for 5 years (3.5 years in government facility and 6 month in Siemens and 1 year in a start-up as Data Engineer). I developed C# desktop applications with SQL. Worked on front-end and back-end part of three projects and finished them with six team members. I also worked as a performance engineer and analysed a huge project's parts to optimize timing and memory usage of it. Nowadays I am working as a python developer and using ML and DL techniques. I'm open for opportunities such as small/big projects, hourly home-office works etc.

Do you need AI solutions but don't know where to start? I will guide you to the optimal AI solution no matter your needs. I can also design and train custom neural network models for the toughest of problems. I am a software developer and researcher excited to help you solve your software and machine learning problems. I have years of experience in back end web development, machine learning, and cloud architecture. I also have published research in machine learning and data analytics. My strengths: - Deep Learning / Machine Learning model development and training : tensorflow, pytorch, pandas - Machine Learning Operations (MLOPS) : data pipelines, model hosting on the cloud etc. - Back End Web and Software Development : Java, Python, C - Game Development : Unity / C# I will work closely with you to create robust software systems or machine learning models to meet your custom use case and needs. I am happy to keep open a direct line of communication with all of my clients. My Process for an ML Project: - Project Overview and Feasibility - Research and Data Discovery - Data Preprocessing - Model Development, Training, and Validation - Model Refinement - Model Hosting or Packaging

I am an AI Engineer with a Master’s in Artificial Intelligence from Umeå University, Sweden. I build LLM applications, RAG systems, AI agents, document intelligence pipelines, and Python FastAPI backends. My recent work includes HEMMIR, a multimodal RAG system for Scania engineering documents, where I built ingestion, hybrid retrieval, reranking, cited generation, claim verification, reliability scoring, and self-correction routing. I can help you build: RAG systems with citations and reranking AI agents and workflow automation FastAPI backends for AI products Claude, OpenAI, Gemini, and AWS Bedrock integrations Vector search, embeddings, and document QA Evaluation pipelines for hallucination, faithfulness, and retrieval quality I focus on reliable AI systems that use evidence, cite sources, and avoid guessing when information is missing.