I'm a freelance Python & AI Engineer building document assistants, natural-language data tools, and reliable ML systems.
I turn documents, structured data, and ML prototypes into applications with source references, tested behavior, reproducible workflows, and practical deployment options.
An assistant for answering questions about company documents with source references. Includes PDF ingestion, local semantic retrieval, Ollama-based generation, and retrieval evaluation.
A natural-language interface for exploring customer data and comparing segments. Includes request validation, clarification flows, explicit handling of unsupported filters, and end-to-end evaluation.
A customer churn system combining predictions with recommended retention actions and expected-value outputs. Includes API serving, model promotion, monitoring, and policy-driven retraining.
A sales forecasting system with time-series features, XGBoost training, forecast serving, monitoring, and retraining workflows. Includes infrastructure and deployment workflows for Google Cloud Run.
A Copier template for forecasting and classification projects with three configurable tiers. Provides reusable serving, model management, CI/CD, monitoring, and infrastructure components, validated across all six variants.
Python · FastAPI · Streamlit · Ollama · sentence-transformers · MLflow · Prefect · Docker · GitHub Actions · Terraform · Google Cloud · Prometheus · Grafana
I'm available for freelance projects involving internal document assistants, natural-language data tools, prediction APIs, and deployment of AI or ML prototypes.
My repositories demonstrate these capabilities through portfolio projects and reusable reference implementations.

