Created: 2026-07-21 Tue 16:14
#:+TITLE: portfolio creation
In the agentic era I got an idea on how to create portfolios, run interviews and apply to job positions in an agentic environment. The goal is to have a pretty objective portfolio where I list my competences and I ask a bot to judge its content.
| area | competence |
|---|---|
| ML | machine learning, regression, fitting, training, data set preparation |
| geo | spatial queries, algebraic transformations, GIS, document databases"sql,"data transformation, data pipelines, data structure, data modeling |
The knowledge base is organized into these kind of documents:
I created a library to interact with local models and file system model_local.py which is loaded by graph rag. The model is deployed using mcp server on docker.
The system is integrated within emacs and there is no need to exit the program. LLMs help to write the python code which is executed in-line in a separate buffer.
blogD = c_t.dir2tree(os.environ['HOME'] + '/lav/siti/spiega/markdown/')
llm = c_t.get_llm_mcp(model_id=model_id)
blogD = c_t.summarize_text(llm,blogD)
blogD.to_csv(baseDir + "graph/blog_desc_" + modelN + ".csv",index=False)
and a function to create graphs graph_rag.py
| Sede | Max cites | H-index |
|---|---|---|
| Chile | 257.72 | 21.39 |
| Leeds | 165.77 | 19.68 |
| Sao Paolo | 71.00 | 11.50 |
| Stockholm | 134.19 | 14.33 |
| Morelia | 257.56 | 17.67 |