ricsmwangi

@ricsmwangi

Erick Mwangi Muguchia

Blending Actuarial Science with Tech!
Nairobi, Kenya ricsmwangi@github.com Joined April 2026
1.2k Points • 29 Badges • 7 Connections • 8 Followers • 11 Following

About

Just a Curious guy
Exploring AI ML..
Constantly learning and improving

Top Skills

C-Networking • C language • Python Skills • Linux • Git & Github • Actuarial Science Student

Language & Tools

C language
Python
Linux
Sql

Local lllms

VS Code, Vim, automation with Bash.
Terminal native.

Currently Exploring

AI/ML, Offline AI local models
Explainability, governance, and security in the field of Underwriting when AI is involved, and also the contributions of alternative data sources in risk assessments.

Achievements

Achieved AI models running efficiently offline while using just a CPU.
Managed to optimize my setup around AI.
Studying and learning to become a data scientist.
Building a private personal research workplace.

Fun Fact

Students can supercharge their learning by leaning on open‑source tools instead of bloated apps. Running offline AI models on a lightweight Linux distribution like Arch Linux gives maximum control, efficiency, and resilience. It reduces burnout because you’re not weighed down by unnecessary software, and it teaches you how systems really work under the hood.

Random Dev Quote

Programs must be written for people to read, and only incidentally for machines to execute.

Top Tags

User Activities

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Joined: 6 months (since Apr 16)
Full Name: Erick Mwangi Muguchia
Headline: Blending Actuarial Science with Tech!
About: Just a Curious guy
Exploring AI ML..
Constantly learning and improving
Location: Nairobi, Kenya
Website: https://ricsmwangi@github.com
Languges & Tools: C language
Python
Linux
Sql

Local lllms

VS Code, Vim, automation with Bash.
Terminal native.
Currently Exploring: AI/ML, Offline AI local models
Explainability, governance, and security in the field of Underwriting when AI is involved, and also the contributions of alternative data sources in risk assessments.
Achievements: Achieved AI models running efficiently offline while using just a CPU.
Managed to optimize my setup around AI.
Studying and learning to become a data scientist.
Building a private personal research workplace.
Fun Fact: Students can supercharge their learning by leaning on open‑source tools instead of bloated apps. Running offline AI models on a lightweight Linux distribution like Arch Linux gives maximum control, efficiency, and resilience. It reduces burnout because you’re not weighed down by unnecessary software, and it teaches you how systems really work under the hood.
Random Dev Quote: Programs must be written for people to read, and only incidentally for machines to execute.
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