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Scouting report
Builder with a hands-on deep-reinforcement-learning Breakout project
assessed from open-source footprint
Junior
38signal
Carlos's most interesting work is BreakoutDeepQNetwork, a TensorFlow deep-Q agent he reports reaching pro-level play after ~5000 games — a genuinely substantive, self-driven ML project that lifts him above pure coursework. He logged 20 commits last year as a major contributor, with a Python/MATLAB mix. Limits to be honest about: only three repos, zero stars, and no verified external open-source contributions. A promising early-career profile with one real ML build worth a closer look, but a still-shallow overall body of work.
Authorship & open source
Major contributorwrote 27% of commits on cleyva2020.github.io
0 merged PRs20 commits / yr1 reviews
What they build
Frontend50%
Backend25%
Data / ML25%
Industry experience
- Data, ML & AI
Signal breakdown
Originality69
Impact4
Consistency76
Polish13
Stars
0
Original repos
3
0% forks
Followers
1
On GitHub
9.4 yr
Live demos
0
Activity
Active
33% stale
Strengths
- Major contributor on their flagship repositories
- Consistently active, low abandonment
- Frontend focus with Backend
- Domain experience in Data, ML & AI
- Core stack: HTML, MATLAB, Python
About
Full-Stack Engineer from Puerto Rico, active on GitHub with 3 public repositories and 1 followers. Explore the work and reach out on GitHub.
Skills
- HTML
- MATLAB
- Python