const nestroy = {
  role: "CS Student & AI Researcher @ Uganda Christian University",
  basedIn: "Kampala, Uganda",
  currently: [
    "Vision Transformers for medical imaging",
    "Time-series systems",
    "Production-grade data engineering"
  ],
  drivenBy: "Technology that works when the lights go out",
  mantra: "Read papers you’re not ready for. Ship code that matters anyway."
};

I’m a second-year Computer Science student building at the intersection of AI research, scalable data systems, and developer tooling.

I read research papers I don’t fully understand yet, contribute to codebases larger than my experience, and ship solutions designed for real hospitals, real infrastructure, and real humans in low-resource environments.

Focused on creating intelligent, deployable systems that solve high-stakes problems where getting it right actually matters.

• 🧠 Medical AI — Lightweight Vision Transformers + Knowledge Distillation for brain tumor detection in low-resource clinical settings
• 📈 Temporal Intelligence — Mastering sktime and modern time-series systems
• 🗄️ Production Data Systems — Real-world databases with EERDs, triggers, and business logic
• 🔧 Next-Gen Tooling — AI-augmented developer environments and CLIs

Lightweight ViT + Knowledge Distillation pipeline for brain tumor detection.
Tech: PyTorch • Transformers • OpenCV • ONNX

Time-series forecasting, classification, and anomaly detection systems.
Tech: sktime • Pandas • PyTorch • Statsmodels

Full lifecycle database systems from EERD to production.
Tech: PostgreSQL • MySQL • PL/pgSQL • Prisma

Contributing to real-world AI tooling and infrastructure projects.

Uganda needless to say the world doesn’t need another todo app.
It needs systems that keep working when the power flickers,
models trained by people who understand the hospitals they serve,
and databases that survive real humans, real constraints, and real deadlines.

I’m early. I’m serious. And I’m only getting started.

Open to:

• AI research & real-world system design (across industries)
• High-impact collaborations (health, finance, infrastructure, etc.)
• Production-grade open source
• Developer tooling & intelligent systems
• Serious conversations about building technology that actually survives reality