I’m Pascal Oduor — a builder at the intersection of astrophysics, software engineering, AI, and healthcare innovation.
I enjoy designing systems that are clean, scalable, and useful in the real world. My work spans:
- 🔭 scientific curiosity and space science,
- ⚙️ backend and full-stack product engineering,
- 🧠 applied machine learning,
- 🏥 digital health solutions.
⚡ Fun fact: The first photo of a black hole (M87*) was released in 2019 – just 2 years later I started coding. Coincidence? I think not.
| 🧬 AI in Healthcare Building predictive models for patient risk stratification |
🌌 CosmoAI Lab ML on astronomical datasets (light curves, spectra) |
🔧 Open Source Contributing to health tech & scientific Python tools |
| Languages |
|
|---|---|
| Backend |
|
| Frontend |
|
| AI / ML |
|
| Databases |
|
| Cloud & DevOps |
|
|
Healthcare ecosystem focused on accessible, practical, and scalable health solutions. |
Research and experimentation space for AI, astrophysics, and intelligent systems. |
| Role | Organization | Focus |
|---|---|---|
| AI Software Engineer | M-TREAT.com | Backend dev, healthcare workflows, scalable systems |
| Software Engineer | Azur.org | Cloud-native components, clean architecture |
| Full-Stack Software Engineer | ALX Africa | Web technologies, collaborative engineering |
- University of Nairobi — Astrophysics & Space Science
- ALX Africa — Full-Stack Software Engineering
- Continuous learning: AI safety, cloud architecture (AWS), medical informatics
- Why astrophysics makes me a better engineer
- Building FHIR-compliant APIs in Django
- ML in healthcare: Lessons from M-TREAT
