profile sourced from GitHub
Scouting report
Cuban ML engineer exploring LangChain and LangGraph agent architectures in Python
assessed from open-source footprint
Cuban developer focused on data/ML (77% of work), almost entirely in Jupyter and Python across 25 original, fork-free repos. Recent work centers on LLM-agent research (agents_langGraph, LangChain_library), reflecting current interests rather than shipped products. Stars are low (12 total, max 2) and most artifacts are research notebooks with little deployment, so this is a genuine but exploratory ML/notebook portfolio rather than a record of production systems.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- IoT & Hardware
- Media & Streaming
Signal breakdown
12
top repo 2
25
0% forks
5
4 yr
2
Active
36% stale
Strengths
- Verified author — wrote 79% of commits on Google-Workspace-Agent
- 21 merged pull requests
- Original builder — 25 of their own repositories
- Ships to production — 2 live demos
- Consistently active, low abandonment
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & IoT & Hardware
About
Skills
- Jupyter
- Python
- Java
- HTML
- Github Config
Featured work
Agents LangGraph 02 25
Research about agents arch using LangGraph
- Jupyter
by Manuel Quesada
LangChain Library 08 24
🦜️🔗 LangChain Research
- Jupyter
by Manuel Quesada
customLMM
Collection of notebooks for customizing Large Language Models(LLM) using the LangChain and LLamaindex frameworks, and also exploring the advantages t…
- Jupyter
by Manuel Quesada
Feature Extraction Image
Some notebooks for extracting features from images and for comparing similarity using classical methods of Digital Image Processing and CNN
- Jupyter
by Manuel Quesada
SPEA Lab IoT
IoT laboratory with security end-to-end
- Python
by Manuel Quesada
Hands On Machine Learning
Practical collection of Jupyiter notebooks of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.
- Jupyter
by Manuel Quesada