I am a Senior AI Full Stack Engineer with 10+ years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native solutions. I specialize in Python (Django, FastAPI, Flask) and modern frontend (React.js, Next.js, Vue.js), with 5+ years in AI/ML, NLP, and MLOps. I have hands-on expertise with transformers, LLM integration, and generative AI (2+ years in RAG, LangChain, LangGraph, and prompt engineering). I bring a strong background in data engineering with Spark, Kafka, Hive, and Pandas, as well as cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). I've led teams, architected microservices, and delivered enterprise-grade applications with measurable business impact. I have led development efforts across SaaS platforms, mentored engineers, and collaborated closely with product and design stakeholders to ensure high-quality, scalable solutions in fast-paced environments.

Marek Buzor

I am a Senior AI Full Stack Engineer with 10+ years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native solutions. I specialize in Python (Django, FastAPI, Flask) and modern frontend (React.js, Next.js, Vue.js), with 5+ years in AI/ML, NLP, and MLOps. I have hands-on expertise with transformers, LLM integration, and generative AI (2+ years in RAG, LangChain, LangGraph, and prompt engineering). I bring a strong background in data engineering with Spark, Kafka, Hive, and Pandas, as well as cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). I've led teams, architected microservices, and delivered enterprise-grade applications with measurable business impact. I have led development efforts across SaaS platforms, mentored engineers, and collaborated closely with product and design stakeholders to ensure high-quality, scalable solutions in fast-paced environments.

Available to hire

I am a Senior AI Full Stack Engineer with 10+ years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native solutions. I specialize in Python (Django, FastAPI, Flask) and modern frontend (React.js, Next.js, Vue.js), with 5+ years in AI/ML, NLP, and MLOps. I have hands-on expertise with transformers, LLM integration, and generative AI (2+ years in RAG, LangChain, LangGraph, and prompt engineering). I bring a strong background in data engineering with Spark, Kafka, Hive, and Pandas, as well as cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). I’ve led teams, architected microservices, and delivered enterprise-grade applications with measurable business impact.

I have led development efforts across SaaS platforms, mentored engineers, and collaborated closely with product and design stakeholders to ensure high-quality, scalable solutions in fast-paced environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Polish
Fluent
English
Fluent

Work Experience

Full Stack Engineer at Elinext
August 1, 2025 - October 13, 2025
Led development of scalable SaaS platforms using Python (Django, FastAPI) and modern frontends (React.js/Next.js, Vue), serving 50k+ users. Architected microservices deployed on Kubernetes (AWS EKS, Azure AKS) with secure API gateways (OAuth2, JWT, RBAC). Delivered real-time data pipelines using Kafka, Spark Streaming, Hive, Redis, and WebSockets to enable event-driven architectures. Designed and deployed LLM/NLP features (chatbots, intelligent search) leveraging Hugging Face transformers, OpenAI APIs, PyTorch, and agent workflows orchestrated via LangChain and LangGraph. Built CI/CD pipelines with GitHub Actions and GitLab CI, and implemented MLOps practices (MLflow, containerized models, automated retraining on Azure ML and AWS SageMaker), reducing model deployment times by about 50%. Optimized PostgreSQL, MongoDB, and Pandas pipelines for high-volume workloads, and improved frontend delivery with SSR, code splitting, and design systems. Mentored 8 engineers and collaborated with pro
Full Stack Engineer at UniCredit
January 1, 2022 - October 13, 2025
Built enterprise-grade applications using Django REST Framework, React.js, and Vue, handling thousands of daily transactions. Developed dashboards with Chart.js, Plotly, and Pandas for KPIs, AI predictions, and real-time metrics. Implemented NLP-driven features (document parsing, recommendations) and integrated LangChain-based retrieval-augmented generation and contextual chat experiences. Delivered NLP pipelines using Scikit-learn and Hugging Face. Automated ETL workflows with Apache Airflow, Kafka, Spark, and Hive, reducing reporting delays by 75%. Containerized services with Docker and deployed to AWS ECS and Azure App Service for high availability. Built GraphQL APIs with subscriptions for real-time updates and fine-grained access control. Enhanced MLOps workflows (model versioning, retraining pipelines, deployment automation) on Kubernetes and Azure ML. Implemented CI/CD pipelines with Jenkins, GitHub Actions, and infrastructure-as-code on AWS & Azure. Designed multi-tenant SaaS f
Full Stack Engineer at ITFS
February 1, 2018 - October 13, 2025
Developed fintech and medtech apps using Python (Django, Flask), React.js, and Vue; created REST APIs with Django REST Framework and Flask; implemented real-time communications with WebSockets, Kafka, and Django Channels; built NLP/ML modules for fraud detection and anomaly detection using Pandas, PyTorch, and Scikit-learn; prototyped early AI agents with custom pipelines, laying groundwork for LangChain/LangGraph adoption; designed UIs for data-heavy dashboards using React and Vue plus Tailwind CSS and Material UI; implemented CI/CD pipelines with Jenkins, GitLab CI, and Docker; contributed to MLOps by containerizing ML models for inference APIs; documented APIs with Swagger/OpenAPI; mentored interns on React, Python, and AI concepts.
Full Stack Engineer at Elinext
August 1, 2025 - October 13, 2025
Led development of scalable SaaS platforms using Python (Django, FastAPI) and modern frontends (React.js/Next.js/Vue). Architected microservices deployed on Kubernetes with secure API gateways. Implemented real-time data pipelines using Kafka, Spark Streaming, Hive, Redis, and WebSockets. Designed and deployed LLM/NLP features (chatbots, intelligent search) leveraging Hugging Face, OpenAI APIs, PyTorch, and agent workflows orchestrated via LangChain & LangGraph. Built CI/CD pipelines with GitHub Actions and GitLab CI; applied MLOps practices (MLflow, containerized models, automated retraining on Azure ML and AWS SageMaker). Optimized PostgreSQL, MongoDB, and Pandas pipelines; mentored 8 engineers; collaborated with product and design teams to deliver enterprise-grade solutions.
Full Stack Engineer at UniCredit
January 31, 2022 - October 13, 2025
Built enterprise apps using Django REST Framework, React.js, and Vue; developed dashboards with Chart.js and Plotly for KPIs, AI predictions, and real-time metrics. Implemented NLP-driven features (text classification, document parsing, recommendations) and integrated LangChain for retrieval-augmented generation and contextual chat experiences. Automated ETL workflows with Apache Airflow, Kafka, Spark, and Hive; containerized services with Docker; deployed to AWS ECS and Azure App Service. Built GraphQL APIs with subscriptions and fine-grained access control. Enhanced MLOps workflows (model versioning, retraining pipelines, deployment automation) on Kubernetes and Azure ML. Implemented CI/CD pipelines with Jenkins, GitHub Actions, and infrastructure-as-code on AWS & Azure. Designed multi-tenant SaaS features with tenant isolation and custom configuration for enterprise customers. Optimized database performance with PostgreSQL, Redis, and Pandas, reducing query times. Collaborated with
Full Stack Engineer at ITFS
February 28, 2018 - October 13, 2025
Developed fintech and medtech apps; built REST APIs with Django REST Framework and Flask; implemented real-time communication with WebSockets, Kafka, and Django Channels. Built NLP/ML modules (fraud detection, anomaly detection) using Pandas, PyTorch, and Scikit-learn; prototyped early AI agents with custom pipelines. Designed UIs for data-heavy dashboards using React.js, Vue.js, Tailwind CSS, and Material UI. Automated deployments with Jenkins, GitLab CI, and Docker on AWS & Azure. Designed and optimized PostgreSQL, MySQL, and Hive schemas via Django ORM and SQLAlchemy. Contributed to MLOps by containerizing ML models for inference APIs and documenting APIs with Swagger/OpenAPI.

Education

Bachelor's Degree in Computer Science at The University of Manchester
January 1, 2010 - January 1, 2014
Bachelor's Degree in Computer Science at The University of Manchester
January 1, 2010 - January 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Financial Services, Healthcare