# eddy_chebelyon
> Machine Learning Engineer @ Fraym | Geospatial ML | Cloud Engineering
> Born on Mt. Elgon, Kenya. Based in San Diego, CA.
_Hi — I'm Eddy. I'm a Machine Learning Engineer at Fraym where I spend my days wrangling geospatial data, building ML pipelines, and convincing AWS to do what I want (it rarely listens the first time).
I grew up on the slopes of Mt. Elgon in western Kenya, which means I have strong opinions about tea, coffee, maize (definitely not corn), and altitude. I eventually made my way to UC San Diego for grad school and just... never left California. You've seen the weather.
When I'm not staring at a terminal, I'm in the garage building things with wood (yes, I own too many clamps), tinkering with Raspberry Pis that definitely serve a purpose, or getting unreasonably invested in a fútbol match - or soccer, as my daughter keeps reminding me.
I love meeting people and talking about ideas, but I recharge best with a book, a long run, or some waves.
I live in San Diego with my wife Liz, and my children, who run the household.
From the slopes of mt. elgon to the sunny beaches of san diego
┌─────────────────────────────────────┐ │ CHARACTER SHEET │ │ PLAYER: Eddy Chebelyon │ │ CLASS: Machine Learning Engineer │ │ ORIGIN: Mt. Elgon, Kenya │ └─────────────────────────────────────┘
| Package | Frequency | Notes |
|---|---|---|
| Python | daily | ML pipelines, automation, APIs the answer to everything |
| AWS | daily | certified x2 but always discovering new services, do they sleep over there? |
| opentofu/terragrunt | daily | because i never remember things I changed on the console |
| Geospatial ML | daily | GDAL, rasterio, remote sensed data wrangling |
| Docker/CICD | daily | containerize first, ask questions later |
| Postgres/SQL | daily | Postgres whisperer, PostGIS, indexes, explain analyze rabbit holes |
| Stata | gathering dust | grad school muscle memory |
| R | weekly | econometrics roots, still reach for it |
| HTML/CSS/JS | this site | proof I can center a div |
// SOME THINGS I'VE DONE
- [x] AWS Certified Cloud Practitioner [VERIFIED]
- [x] AWS Certified Machine Learning — Specialty [VERIFIED]
- [x] Intro to Computer Science & Programming (edX)
- [x] Master of International Affairs — UC San Diego
- [x] Bachelor of Science — Egerton University
// PASSIVE ABILITIES
Building ML infrastructure and geospatial data pipelines, fixing terraform scripts, and optimizing cloud deployments.
Data sourcing, validation, and plumbing. Automating data flow and making maps that actually mean something.
Worked with Professor Michael Callen on mobile salary payments in Afghanistan. Data analysis and policy maker engagement.
Development economics, econometrics, international development. TA for Quantitative Methods II & III. Research with Professor Kate Ricke on temperature & economic output.
Large-scale field data collection across Northern Kenya and Southern Ethiopia. ML project with Cornell University on crowdsourcing rangeland conditions.
## published_scrolls
Proof that I occasionally finish things.
-
"Conspicuous monitoring and remote work"
Carla Gomes, Nathan Jensen, Elizabeth Lyons, Ronan Le Bras
`behavioral economics` `remote work` `monitoring`
[paper ↗] -
"Technology and Capital Mobility: Estimating the Effects of Mobile Money Adoption on International Remittances"
`mobile money` `remittances` `fintech`
[paper ↗]
total 42 drwxr-xr-x eddy eddy 4096 hobbies/ -rw-r--r-- eddy eddy 1337 soccer.passion -rw-r--r-- eddy eddy 2048 woodworking.sawdust -rw-r--r-- eddy eddy 1024 surfing.stoke -rw-r--r-- eddy eddy 512 running.miles -rw-r--r-- eddy eddy 256 reading.bookshelf -rw-r--r-- eddy eddy 128 raspberrypi.tinkering -rw-r--r-- eddy eddy ∞ family.everything