06/05/2025 updated
100 % available
Senior Solution Architect and Technical Lead
Amsterdam, Netherlands
Worldwide
Master of Science in Electro-technics and Information TechnologyInnovationArtificial IntelligenceAmazon Web ServicesAmazon S3Data AnalysisAutomationBig DataCloud ComputingCloud EngineeringContinuous IntegrationExtract Transform Load (ETL)Data ManagementDevOpsRenewable EnergyHealth Care
Cloud Architecture and MLOps
Expertise in MLOps on cloud (especially AWS) and on-premises environments. Proficiency in creating and maintaining data platforms, data pipelines, and data lakes.
Software Engineering and Solution Architecture
Strong background in development and technical leadership in software engineering. Skilled in solution architecture and research, with a focus on creating scalable and efficient systems.
Big Data and Machine Learning
Extensive experience in big data processing, data analysis, and machine learning operations. Proficient in implementing AI services and data science solutions using various tools and frameworks.
DevOps and Infrastructure as Code
Proficiency in DevOps practices, including CI/CD pipelines, automation tools, and infrastructure-as-code using technologies like Terraform, CDK, and Ansible.
Data Processing and Analytics
Expertise in data processing using Python, PySpark, Pandas, and other libraries. Skilled in data ingestion, ETL processes, and implementing data science workflows.
Cloud Services and Serverless Architecture
In-depth knowledge of AWS services including S3, Glue, Lambda, Sagemaker, and RDS. Experience with serverless architectures and cloud-based machine learning operations.
Container Orchestration
Proficient in Kubernetes, Docker, and related technologies for container orchestration and microservices architecture.
Healthcare and Energy Sector Solutions
Experience in developing solutions for healthcare research, innovations, and renewable energy platforms, including system architecture and security standards implementation.
Expertise in MLOps on cloud (especially AWS) and on-premises environments. Proficiency in creating and maintaining data platforms, data pipelines, and data lakes.
Software Engineering and Solution Architecture
Strong background in development and technical leadership in software engineering. Skilled in solution architecture and research, with a focus on creating scalable and efficient systems.
Big Data and Machine Learning
Extensive experience in big data processing, data analysis, and machine learning operations. Proficient in implementing AI services and data science solutions using various tools and frameworks.
DevOps and Infrastructure as Code
Proficiency in DevOps practices, including CI/CD pipelines, automation tools, and infrastructure-as-code using technologies like Terraform, CDK, and Ansible.
Data Processing and Analytics
Expertise in data processing using Python, PySpark, Pandas, and other libraries. Skilled in data ingestion, ETL processes, and implementing data science workflows.
Cloud Services and Serverless Architecture
In-depth knowledge of AWS services including S3, Glue, Lambda, Sagemaker, and RDS. Experience with serverless architectures and cloud-based machine learning operations.
Container Orchestration
Proficient in Kubernetes, Docker, and related technologies for container orchestration and microservices architecture.
Healthcare and Energy Sector Solutions
Experience in developing solutions for healthcare research, innovations, and renewable energy platforms, including system architecture and security standards implementation.
Experience
Professional experience10+ years
Freelancer since2013
Languages
BulgarianNative speakerEnglishNative speakerDutchGoodSerbianNative speaker
Project history
Advising clients in technology implementation, creating solutions, PoCs, improving architecture, and introducing Big Data and Predictive Analytics. Responsible for ML Ops infrastructure setup, Cloud DevOps, and data processing modeling.
Chief Architect Office: Technology scouting, Senior Software Architect in MLOps domain, Cloud Architecture for hybrid cloud support, Business Process Modeling, AI Services implementation, and ML OPS setups.
Big Data Processing, Data analysis and analytics using PySpark, Pandas, Numpy. Data science ETL and Migrations, working with various database systems and ETL frameworks.