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I am a Full Stack Developer with over 10 years of experience delivering high-performance software solutions in the healthcare and financial sectors. I am proficient in JavaScript/TypeScript, Java, and Flutter, with end-to-end expertise in building web applications using React, Next.js, Vue, Node.js, and Spring Boot. I have extensive hands-on experience with cloud platforms including Azure and AWS and a strong track record leading the development of enterprise-grade platforms that leverage AI/ML for real-time analytics, automation, and decision-making. I am well-versed in microservices architecture, event-driven systems, and CI/CD pipelines, focusing on building secure, compliant applications aligned with standards like HIPAA, FHIR, PCI DSS, and SOC 2. I bring practical experience in machine learning integration, including pipeline development, model deployment, and production-grade MLOps using tools like MLflow, Apache Airflow, and Kubeflow. I am passionate about building scalable systems that balance performance, reliability, and long-term maintainability.…I am a Full Stack Developer with over 10 years of experience delivering high-performance software solutions in the healthcare and financial sectors. I am proficient in JavaScript/TypeScript, Java, and Flutter, with end-to-end expertise in building web applications using React, Next.js, Vue, Node.js, and Spring Boot. I have extensive hands-on experience with cloud platforms including Azure and AWS and a strong track record leading the development of enterprise-grade platforms that leverage AI/ML for real-time analytics, automation, and decision-making. I am well-versed in microservices architecture, event-driven systems, and CI/CD pipelines, focusing on building secure, compliant applications aligned with standards like HIPAA, FHIR, PCI DSS, and SOC 2. I bring practical experience in machine learning integration, including pipeline development, model deployment, and production-grade MLOps using tools like MLflow, Apache Airflow, and Kubeflow. I am passionate about building scalable systems that balance performance, reliability, and long-term maintainability.

Norbert Stachowiak

Full Stack Developer, Developer, Programmer, +2

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I am a Full Stack Developer with over 10 years of experience delivering high-performance software solutions in the healthcare and financial sectors. I am proficient in JavaScript/TypeScript, Java, and Flutter, with end-to-end expertise in building web applications using React, Next.js, Vue, Node.js, and Spring Boot. I have extensive hands-on experience with cloud platforms including Azure and AWS and a strong track record leading the development of enterprise-grade platforms that leverage AI/ML for real-time analytics, automation, and decision-making. I am well-versed in microservices architecture, event-driven systems, and CI/CD pipelines, focusing on building secure, compliant applications aligned with standards like HIPAA, FHIR, PCI DSS, and SOC 2. I bring practical experience in machine learning integration, including pipeline development, model deployment, and production-grade MLOps using tools like MLflow, Apache Airflow, and Kubeflow. I am passionate about building scalable systems that balance performance, reliability, and long-term maintainability.…I am a Full Stack Developer with over 10 years of experience delivering high-performance software solutions in the healthcare and financial sectors. I am proficient in JavaScript/TypeScript, Java, and Flutter, with end-to-end expertise in building web applications using React, Next.js, Vue, Node.js, and Spring Boot. I have extensive hands-on experience with cloud platforms including Azure and AWS and a strong track record leading the development of enterprise-grade platforms that leverage AI/ML for real-time analytics, automation, and decision-making. I am well-versed in microservices architecture, event-driven systems, and CI/CD pipelines, focusing on building secure, compliant applications aligned with standards like HIPAA, FHIR, PCI DSS, and SOC 2. I bring practical experience in machine learning integration, including pipeline development, model deployment, and production-grade MLOps using tools like MLflow, Apache Airflow, and Kubeflow. I am passionate about building scalable systems that balance performance, reliability, and long-term maintainability.

Available to hire

I am a Full Stack Developer with over 10 years of experience delivering high-performance software solutions in the healthcare and financial sectors. I am proficient in JavaScript/TypeScript, Java, and Flutter, with end-to-end expertise in building web applications using React, Next.js, Vue, Node.js, and Spring Boot. I have extensive hands-on experience with cloud platforms including Azure and AWS and a strong track record leading the development of enterprise-grade platforms that leverage AI/ML for real-time analytics, automation, and decision-making.

I am well-versed in microservices architecture, event-driven systems, and CI/CD pipelines, focusing on building secure, compliant applications aligned with standards like HIPAA, FHIR, PCI DSS, and SOC 2. I bring practical experience in machine learning integration, including pipeline development, model deployment, and production-grade MLOps using tools like MLflow, Apache Airflow, and Kubeflow. I am passionate about building scalable systems that balance performance, reliability, and long-term maintainability.

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Work Experience

Full Stack AI/ML Developer & Technical Lead at BNP Paribas Bank Polska

December 1, 2022 - Present

Designed and built scalable, end-to-end healthcare and fintech platforms using TypeScript, Java (Spring Boot), and Node.js with React, Next.js, and Vue 3 frontends aligned with HIPAA, FHIR, GDPR, PCI DSS, and SOX regulations. Developed cross-platform mobile apps using Flutter and React Native with native module integration. Led transformation from monolith to microservices with Docker, Kubernetes, AWS Lambda, and Azure Functions to improve availability and scalability. Maintained cloud-native data architectures with PostgreSQL, MongoDB, Redis, and GraphQL. Designed and deployed machine learning models for patient risk prediction, fraud detection, and document classification using Java libraries and integrated real-time inference. Built MLOps pipelines with MLflow, DVC, and Apache Airflow. Integrated AI features into client apps powered by Azure ML and AWS Sagemaker. Implemented DevOps pipelines with GitHub Actions, Azure DevOps, and CircleCI covering testing and security. Collaborated

Full Stack AI/ML Developer at CANAL+ Polska

November 30, 2022 - September 4, 2025

Led development and modernization of financial platforms adopting microservices architecture using Node.js (NestJS/Express) and Java (Spring Boot, Quarkus), improving scalability and throughput. Built dynamic front-end applications with React, Vue 3, Next.js, and TypeScript using Redux Toolkit and Tailwind CSS. Developed real-time transaction monitoring dashboards with React, D3.js, and Power BI Embedded. Integrated Kafka, RabbitMQ, and Azure Service Bus for event-driven architectures supporting transactions and compliance. Built and managed ETL pipelines with Apache Beam, Apache Spark, and Azure Data Factory. Implemented AI/ML fraud detection systems with scikit-learn, XGBoost, and Azure ML analyzing behaviors to flag suspicious activities. Created ML pipelines for credit scoring, churn prediction, transaction classification using MLflow and Airflow integrating model inference for real-time decisions.

Full Stack Developer at Ericsson

January 31, 2020 - September 4, 2025

Designed and optimized backend services for a global e-commerce platform using Java (Spring Boot, Micronaut) and Node.js (NestJS, Express) ensuring high availability and scalability across checkout, cart, and order modules. Engineered real-time features via WebSockets and event-driven architectures with Kafka and RabbitMQ for order updates and inventory tracking. Developed frontend apps with React, Vue 3, Angular enhanced with TypeScript, Redux Toolkit, and Tailwind CSS for responsive user experience. Leveraged MongoDB, PostgreSQL, Redis, and Cassandra for fast, fault-tolerant data storage and caching. Integrated AI/ML recommendation engines using scikit-learn, LightGBM, and TensorFlow to personalize listings and optimize search. Implemented Redis caching significantly improving responsiveness. Managed feature flags and blue-green deployments with LaunchDarkly and Kubernetes namespaces. Built SEO-friendly UIs using Next.js, Vue/Nuxt optimized for mobile and accessibility compliance. De

Software Developer at WaveNet Sp. Z o.o.

November 30, 2018 - September 4, 2025

Integrated WCF services with third-party payment providers and internal systems for secure payment processing and order fulfillment. Utilized RabbitMQ for message queuing supporting event-driven architecture handling orders, inventory updates, and shipping notifications. Designed and developed responsive mobile-friendly websites using HTML5, CSS3, and JavaScript enhancing user engagement. Conducted load and stress testing with Apache JMeter simulating real traffic to identify performance issues for improved user experience.