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dibyo10/README.md

👋 Hey, I’m Dibyo

Developer sipping coffee and coding

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.


🖥️ Tech Stack

🧠 Languages
⚙️ Backend & Frameworks
🎨 Frontend
🗄️ Databases
☁️ DevOps & Hosting
📊 Data Science & ML
🤖 LLMs & NLP
🛠️ Tools & IDEs

GitHub Stats (I don't know why this is used but okay)

GitHub Streak Dibyo's GitHub Activity Graph

📄 More About My Work

If you’d like a more structured view of my background and projects:


🌐 Connect with Me

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  1. Multithreading_Concurrency_Learning Multithreading_Concurrency_Learning Public

    This repository is a comprehensive collection of my explorations and hands-on implementations of multithreading and concurrency concepts in Java. It includes code samples, theoretical notes, best p…

    Java 15

  2. go-taskqueue-workers-api go-taskqueue-workers-api Public

    Concurrent in-memory job processing API in Go using worker pools, channels, and background task execution.

    Go

  3. gRPC-Service-Go gRPC-Service-Go Public

    Contract-first Go microservices system using gRPC and Protocol Buffers, demonstrating HTTP-to-gRPC communication, context deadlines, and clean service layering.

    Go

  4. Manual-Logistic-Regression Manual-Logistic-Regression Public

    Jupyter Notebook

  5. ML-Math ML-Math Public

    My solutions to TensorTonic problems

    Python