I enjoy building and understanding software systems.. not just getting them to work, but understanding how they behave under real constraints like scale, latency, failure, and imperfect data.
I’m especially drawn to areas where engineering meets reasoning:
- backend systems that must remain correct and observable over time
- machine learning models that are grounded in mathematics, not just APIs
- LLM-based applications that need guardrails, structure, and reliability
I like working close to fundamentals..whether that’s concurrency primitives, optimization methods, or the mechanics behind modern ML models. When I use abstractions, I prefer knowing exactly what they hide and what they don’t.
Curiosity, consistency, and clarity guide most of what I build.
| 🧠 Languages |
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|---|---|
| ⚙️ Backend & Frameworks |
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| 🎨 Frontend |
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| 🗄️ Databases |
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| ☁️ DevOps & Hosting |
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| 📊 Data Science & ML |
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| 🤖 LLMs & NLP |
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| 🛠️ Tools & IDEs |
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If you’d like a more structured view of my background and projects:
- Resume: View PDF
- Portfolio: dibyoc-portfolio.vercel.app





