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SIntel423/README.md

Senior Software Engineer

Architecting Next-Generation Distributed Systems | Blockchain Infrastructure | AI-Powered Solutions

Specializing in High-Performance, Cloud Native Applications with expertise in Polkadot/Substrate blockchain development, AI agent systems, and enterprise-grade backend architectures


Status Location Experience


🎯 Core Expertise

πŸ”— Blockchain Development

Polkadot & Substrate Ecosystem Specialist

  • Polkadot Parachain Development: Building custom parachains and runtime modules
  • Substrate Framework: Expert-level custom pallet development and chain customization
  • Cross-Chain Integration: Implementing XCM (Cross-Consensus Message) protocols
  • Runtime Development: Designing and optimizing Substrate runtimes for production
  • Blockchain Infrastructure: Deploying and maintaining decentralized networks

πŸ€– AI & Agent Systems

Intelligent Agent Architectures & AI Integration

  • AI Agent Development: Building autonomous, multi-agent systems with reasoning capabilities
  • LLM Integration: Production-ready integration of Large Language Models into applications
  • Agent Orchestration: Designing agent workflows and coordination mechanisms
  • AI-Powered Backends: Integrating AI capabilities into distributed systems
  • MLOps & AI Infrastructure: Deploying and scaling AI models in production environments

βš™οΈ Backend Engineering

High-Performance Distributed Systems

  • Python: FastAPI, Django, async/await patterns, microservices architecture
  • Go: Concurrent systems, gRPC services, high-throughput APIs, cloud-native applications
  • Rust: Systems programming, performance-critical backends, Actix-web, async runtimes
  • Distributed Systems: Microservices, event-driven architectures, service mesh
  • Cloud Native: Kubernetes orchestration, containerization, CI/CD pipelines

πŸ› οΈ Technical Stack

πŸ’» Core Languages

Python Go Rust JavaScript C++

πŸ”— Blockchain Technologies

Polkadot Substrate Web3 Parity

πŸ€– AI & Machine Learning

OpenAI LangChain PyTorch TensorFlow

🎨 Backend Frameworks

FastAPI Django Gin Actix-web gRPC

🌐 Frontend Technologies

React Next.js TypeScript

☁️ Cloud & DevOps

AWS Docker Kubernetes GitHub Actions Terraform


πŸ“ˆ GitHub Activity Graph

GitHub Activity Graph


πŸ’‘ Random Dev Quote

Random Dev Quote


🎯 Professional Specializations

πŸ—οΈ Architecture & System Design

  • Distributed Systems Architecture: Designing scalable, fault-tolerant microservices
  • Event-Driven Architectures: Implementing CQRS, event sourcing, and message queues
  • Cloud Native Patterns: Serverless, containerization, service mesh, and orchestration
  • Performance Optimization: Low-latency systems, high-throughput APIs, resource efficiency

πŸ” Production Engineering

  • DevOps & CI/CD: Automated deployment pipelines, infrastructure as code
  • Monitoring & Observability: Distributed tracing, metrics, logging, and alerting
  • Security: Secure coding practices, authentication/authorization, encryption
  • Scalability: Horizontal scaling, load balancing, caching strategies

πŸ“ GitHub Metrics

GitHub Metrics

Repos Per Language


🎨 Comprehensive Tech Stack

Tech Stack Icons


πŸ“ˆ Current Focus & Research


πŸ’Ό Professional Highlights

  • Blockchain Infrastructure: Building production-ready Polkadot parachains with custom Substrate runtimes
  • AI Integration: Architecting intelligent agent systems for enterprise applications
  • Backend Excellence: Delivering high-performance APIs and microservices in Python, Go, and Rust
  • Cloud Native: Designing and deploying scalable distributed systems on Kubernetes
  • Full Stack: End-to-end development from blockchain backends to modern web frontends

Typing SVG


⭐️ From SIntel423

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  1. model_noise_flow model_noise_flow Public

    This repository provides the codes for training and testing the Noise Flow model used for image noise modeling and synthesis

    Python 1

  2. paper_keyphrase_generation paper_keyphrase_generation Public

    PyTorch code of β€œDiverse Keyphrase Generation with Neural Unlikelihood Training” (COLING 2020)

    Python 1

  3. model_diffusion model_diffusion Public

    πŸ€— Diffusers provides pretrained diffusion models across multiple modalities, such as vision and audio, and serves as a modular toolbox for inference and training of diffusion models.

    Python 16

  4. boilerplate-go-graphql-api boilerplate-go-graphql-api Public

    An opinionated GraphQL server boilerplate, made with Go

    Go

  5. boilerplate-go-saas boilerplate-go-saas Public

    Golang API for a SaaS boilerplate

    Go

  6. boilerplate-golang-monolithic boilerplate-golang-monolithic Public

    Go DDD example application. Complete project to show how to apply DDD, Monolithic Architecture using docker ,mongodb ,redis ,gin and paseto.

    Go