Scouting report
Robotics/automation background, first ML repo on GitHub
assessed from open-source footprint
Franklin's bio points to industrial automation experience (PLC, SCADA, KUKA, Universal Robots) paired with computer-vision and ML interests, but his GitHub footprint is brand new: one repo on a 0.3-year-old account, no stars, and no commits in the last year. The single project, SmeltIQ, applies Python, scikit-learn and Power BI to quality prediction in aluminum-alloy casting, which is a credible domain-specific use case. There are no verified external open-source contributions yet. This is a fresh public profile where the stated industrial pedigree is the main draw and the code track record still has to be built.
Authorship & open source
What they build
Signal breakdown
0
1
0% forks
1
0.3 yr
0
Active
0% stale
Strengths
- Consistently active, low abandonment
- Data / ML focus
- Core stack: Jupyter
About
Skills
- Jupyter