profile sourced from GitHub
Scouting report
LLM-agent researcher — neuro-symbolic planning thesis
assessed from open-source footprint
Ariel is the most research-credible here: his PLAN-GRAIL thesis (5★, his top repo) tackles LLM-based agent planning with grammar-constrained decoding and neuro-symbolic modeling in Python, backed by a competitive-programming and teaching background. Temper expectations on engineering polish — a 0.56 abandonment ratio and only 7 commits last year — but the originality is genuine. A strong fit for an applied-ML or research-leaning team.
Authorship & open source
What they build
Industry experience
- Education & EdTech
- Data, ML & AI
- Fintech & Payments
Signal breakdown
5
top repo 5
9
64% forks
30
3.7 yr
0
Active
56% stale
Strengths
- Verified author — wrote 100% of commits on Thesis
- Data / ML focus with Backend
- Domain experience in Education & EdTech & Data, ML & AI
- Core stack: Python, Jupyter, C++, C#
About
Skills
- Python
- Jupyter
- C++
- C#
Featured work
Thesis
PLAN-GRAIL: Planning with LLM-based Agents via Neuro-symbolic modeling with Grammar-Constrained decoding, Reasoning, and Active In-context Learning
- Python
by Ariel González Gómez
Paint Life
C++ Console drawing application inspired by Microsoft Paint
- C++
by Ariel González Gómez
Interactive Display Of Smoothing Splines
Interactive display of smoothing splines for Numerical Analysis Final Project
- Jupyter
by Ariel González Gómez
Euler And Runge Kutta In Kuznetsov Taylor
Simulations in Python of the model of Kuznetzov and Taylor with Euler and Runge-Kutta numerical methods, for EDO's final proyect
- Python
by Ariel González Gómez
Regular Card Game
Customizable Trading Cards Game. 2nd Programming Proyect MatCom 2022
- C#
by Ariel González Gómez
Cuban House Price Predictor
Predictor of the price of a Cuban house given the description text (2022)
- Python
by Ariel González Gómez