profile sourced from GitHub
Scouting report
Puerto Rican ML tinkerer building LangChain/LangGraph multi-agent assistants in Jupyter
assessed from open-source footprint
Junior data/ML engineer from Puerto Rico with a small but genuinely original portfolio of LLM-agent experiments. Trip Monkey is a travel-planning agent and Contextual Quoting Assistants is a LangChain/LangGraph multi-agent system, both authored solo in Jupyter. Work is early-stage with no stars or external traction yet, but the focus on agentic AI is real and self-directed.
Authorship & open source
What they build
Industry experience
- Travel, Food & Hospitality
Signal breakdown
0
2
50% forks
9
4.7 yr
0
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on contextual_quoting_assistants
- Consistently active, low abandonment
- Data / ML focus
- Domain experience in Travel, Food & Hospitality
- Core stack: Jupyter
About
Skills
- Jupyter
Featured work
Trip Monkey
Trip-Monkey is an intelligent travel-planning agent that helps you go from “I want a trip” to a fully organized itinerary in minutes.
- Jupyter
by Hector Jimenez
Contextual Quoting Assistants
This project implements a sophisticated multi-agent system using LangChain/LangGraph that generates personalized, context-aware quotes.
- Jupyter
by Hector Jimenez