Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, Rust, SQL, PyTorch, Anthropic/OpenAI APIs, MCP, open-weight LLMs, Postgres, Kafka, Spark, Databricks, Airflow, Prefect, FastAPI, Docker, Kubernetes, Terraform, Pulumi, Azure, GCP
Résumé/CV: linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI/ML engineer, 9+ years, freelance. I build LLM and agent systems that work in production, and the data platforms and infrastructure underneath them: evaluation sets so results can be judged rather than demoed, pipelines and integrations that survive bad inputs, observability that shows when something drifts, and the data it all stands on.
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, PyTorch, mlx-lm, DuckDB, FastAPI, Rust, SQL, Spark, Databricks, Prefect, Terraform, Pulumi, Azure, GCP
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI/ML engineer, 9+ years. I design, build, and review data platforms and ML/AI systems end to end - lakehouses, ML pipelines, RAG, agents, cloud infrastructure, rapid PoCs.
I also advise engineering teams on AI-assisted development workflows.
Client references available.
Location: Berlin, Germany → Atlantic Canada this summer
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, PyTorch, mlx-lm, DuckDB, FastAPI, Rust, SQL, Spark, Databricks, Prefect, Terraform, Pulumi, Azure, GCP
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI engineer, 9+ years. I design, build, and review data platforms and ML/AI systems end to end — lakehouses, ML pipelines, RAG, agents, cloud infrastructure, rapid PoCs. I own retrieval quality and data-readiness for RAG and agent systems — the data plumbing underneath the LLM call, plus the evals and guardrails on top.
I also advise engineering teams on AI-assisted development workflows.
Client references available.
Location: Berlin (DE) → Atlantic Canada in June
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, PyTorch, mlx-lm, DuckDB, FastAPI, Rust, SQL, Spark, Databricks, Prefect, Terraform/Pulumi, Azure, GCP
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI engineer, 9+ years. I design, build, and review data platforms and ML/AI systems end to end — lakehouses, ML pipelines, RAG, agents, cloud infrastructure, rapid PoCs. I own retrieval quality and data-readiness for RAG and agent systems — the data plumbing underneath the LLM call, plus the evals and guardrails on top.
I also advise engineering teams on AI-assisted development workflows.
Client references available.
Location: Canada (UTC-4)
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, Rust, SQL, PyTorch, Spark, Terraform/Pulumi, Docker, Kafka, FastAPI, Azure, GCP, Databricks
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
I also advise on AI-assisted development workflows for engineering teams.
Client references available.
Location: Canada (Atlantic Time, UTC-4) | EU-based business (Germany)
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, Rust, SQL, Spark, Polars, Terraform, Pulumi, Prefect, Airflow, Docker, Kafka, FastAPI, PyTorch, LangChain, MLflow, Azure, GCP, Databricks
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Most recently, I worked with a NYC startup on system design for their data architecture, built production data pipelines in Rust, set up cloud infrastructure with Pulumi, and implemented idempotent automated workflows with Prefect. Before that, I led the implementation of an Azure Databricks lakehouse for a Swiss-German manufacturer, including data governance, CI/CD pipelines, and LLM-powered analytics interfaces.
What I can help with:
- Data platform architecture and pipeline development
- ML/AI systems: RAG, agents, fine-tuning, evaluation pipelines
- Cloud infrastructure and orchestration (Azure, GCP)
- Proof-of-concepts and MVPs — I favor iterative approaches, starting focused and building from there
If you have a data, AI, or infrastructure project in mind or just want to explore possibilities - feel free to reach out. I'd be happy to have a chat!
Hi, I'm a freelancer with 8+ years of international experience as a Solution Architect, Data Engineer, and Python Developer, specializing in cloud platforms, scalable data infrastructures, and machine learning solutions.
Recently, I led the implementation of a modern Azure Databricks Data Lakehouse for a Swiss-German manufacturer, delivering a scalable analytics infrastructure with data governance frameworks, CI/CD pipelines, and LLM-powered analytics interfaces. I’ve worked with clients across various industries, delivering end-to-end data solutions.
Freelance projects I can help with:
- Building complete data platforms from scratch, tailored to your needs.
- Enhancing and upgrading legacy data systems for better performance and scalability.
- Establishing robust Databricks environments with proper governance and scalability.
- Developing machine learning and GenAI applications that integrate seamlessly with your data.
- Providing strategic guidance on how to kickstart your data initiatives or MVPs effectively.
Some of the technologies I work with:
Python, Spark, SQL, Terraform, Databricks, Airflow, Docker, MLflow, PyTorch, LangChain, SpaCy, Kafka, Bash, JavaScript, Fivetran, Flask, FastAPI, Power BI.
If you have a data or ML/AI project in mind — or just want to explore possibilities — feel free to reach out. I’d be happy to have a chat!
LinkedIn: linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/ Github: https://github.com/grbtm Email: in profile
https://github.com/grbtm/news-briefing-generator
Hey HN, I created a tool to generate personalized news briefings from RSS/Atom feeds using local LLMs through Ollama.It currently works in two modes: fully automatic or with an interactive review where you can select which "main topics of the day" to include in your briefing. The result is a HTML document with summaries for each topic.
Hi, I'm a freelancer with 8+ years of international experience as a Solution Architect, Data Engineer, and Python Developer, specializing in cloud platforms, scalable data infrastructures, and machine learning solutions.
Recently, I led the implementation of a modern Azure Databricks Data Lakehouse for a Swiss-German manufacturer, delivering a scalable analytics infrastructure with data governance frameworks, CI/CD pipelines, and LLM-powered analytics interfaces. I’ve worked with clients across various industries, delivering end-to-end data solutions.
Freelance projects I can help with:
- Building complete data platforms from scratch, tailored to your needs.
- Enhancing and upgrading legacy data systems for better performance and scalability.
- Establishing robust Databricks environments with proper governance and scalability.
- Developing machine learning and GenAI applications that integrate seamlessly with your data.
- Providing strategic guidance on how to kickstart your data initiatives or MVPs effectively.
Some of the technologies I work with:
Python, Spark, SQL, Terraform, Databricks, Airflow, Docker, MLflow, PyTorch, LangChain, SpaCy, Kafka, Bash, JavaScript, Fivetran, Flask, FastAPI, Power BI.
If you have a data or ML/AI project in mind — or just want to explore possibilities — feel free to reach out. I’d be happy to have a chat!
LinkedIn: linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/ Email: in profile
Data Engineer & Architect with 8+ years of experience in building scalable data systems. Strong background in software engineering and cloud architecture. I help companies modernize their data infrastructure and establish robust data practices.
Tech stack:
- Data: PySpark, Python, Databricks, Airflow, SQL, BigQuery, Synapse, Cassandra
- Infrastructure: Terraform, Docker, Kubernetes
- Databases: PostgreSQL, MongoDB, Redis
- Streaming: Kafka, Spark Streaming
- Data platform architecture and implementation
- ETL/ELT pipeline design
- Data engineering best practices and team mentoring
- Rapid MVP development for data solutions
Email in profile. LinkedIn: linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Data Engineer
I have experience designing and implementing data processing systems in the Hadoop ecosystem as well as developing algorithms in a telecommunication environment for distributed systems.
Technologies: PySpark, HDFS, Parquet, YARN, SQL, Postgres, Tensorflow, Jupyter, Pandas, gensim, Flask, Docker, AWS, Linux
Programming languages: Python(proficient), Java(familiar), C++(familiar) Languages: English, German
Recent machine learning side project: https://github.com/grbtm/rssBriefing
CV on request
Email in profile
Website: https://grbtm.github.io/