Rodrigo Arenas · Consultant & Founder
Software architecture, development and consulting for teams connecting data, models and applications.
Components, integrations and technical decisions for AI products and platforms.
Pipelines, training, evaluation and monitoring: from data to systems.
APIs, tools and documentation a team can use and maintain.
Ciaren lets you design data and machine learning pipelines, inspect each node and export standalone Python in pandas or Polars. Local execution. Open core. In alpha.
Model optimization and workforce planning, with source code, documentation and runnable examples.
Evolutionary optimization for scikit-learn.
A Python library for hyperparameter tuning and feature selection with evolutionary algorithms. It works with scikit-learn estimators, cross-validation and scoring functions. The documentation includes examples for classifiers, regressors and pipelines.
Staffing requirements and shift allocation.
A Python library for workforce planning: estimate staffing with Erlang-C and assign shifts subject to demand and scheduling constraints. Includes examples for call centers and operations teams.
Explore projectData retrieved: Oct 13, 2026. PyPI downloads over the measured 30 days.
View all projectsData science and machine learning courses with in-browser code and guided exercises.
Consulting
Architecture and development to turn an AI idea into a product you can operate.
View services and deliverablesAn agreed scope: what the team needs, which data exists and what constrains the solution.
Architecture, alternatives and a phased plan with verifiable criteria.
Software integration, tests and documentation so the team can operate and maintain it.
October 2026
Combine exact-term BM25 retrieval and semantic rankings with reciprocal rank fusion. Run a Python baseline and evaluate candidate depth before reranking.
October 2026
Validate extracted invoice amounts against source lines, explicit decimal formats and totals. Measure field accuracy and review coverage with labeled documents.
September 2026
Use the TypeSafe Python SDK and Jev to route requests with typed Choice and Noul results, confidence thresholds and human review.
Choose the area you are working on to find relevant tutorials and projects.
Practical guides on structured extraction, LangGraph agents, and automation with language models.
Architecture, evaluation, and operation of retrieval-augmented systems for enterprise knowledge bases.
Pipelines, monitoring, deployment, experiment tracking, and APIs for maintainable machine learning systems.
Hyperparameter optimization, feature selection, and evolutionary algorithms with Python and scikit-learn.
Data flows, streaming, anomaly detection, ETL, and operational foundations for AI and ML systems.
Practical Python, scikit-learn, API, and tooling tutorials for building useful ML systems.
Resources for moving from AI ideas and prototypes to deployed systems with operational impact.
Machine learning engineer and software architect. I create tools for working with data and models, and share what I learn while building them.
Explore capabilitiesTell me what you want to build, which data you have and where the technical challenge lies.
