Iβm Pascal Oduor β 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:
- π scientific curiosity and space science,
- βοΈ backend and full-stack product engineering,
- π§ applied machine learning,
- π₯ digital health solutions.
β‘ Fun fact: The first photo of a black hole (M87*) was released in 2019 β just 2 years later I started coding. Coincidence? I think not.
| 𧬠AI in Healthcare Building predictive models for patient risk stratification |
π CosmoAI Lab ML on astronomical datasets (light curves, spectra) |
π§ Open Source Contributing to health tech & scientific Python tools |
| Languages |
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| Backend |
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| Frontend |
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| AI / ML |
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| Databases |
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| Cloud & DevOps |
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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 β Astrophysics & Space Science
- ALX Africa β 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