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  • AMD
  • Hyderabad

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Parihar07/README.md

Parihar Naresh Singh

Principal Software Architect | Windows Kernel Specialist (KMDF/WDM) | Agentic AI & Enterprise SaaS

LinkedIn Google Dev Email

🏗️ Executive Summary & Architectural Focus

Accomplished Software Architect and Systems Programmer with over 13+ years of enterprise engineering expertise spanning low-level operating system internals, native device drivers, and cloud-native distributed architectures.

My work bridges the gap between metal and the cloud—from building kernel-level interception drivers and high-speed NVMe/PCIe hardware protocols to architecting highly secure, multi-tenant SaaS ERP platforms and orchestrating cutting-edge Agentic AI frameworks. I specialize in system design, high-availability data pipelines, and technical mentorship for high-velocity engineering teams.

🗺️ Core Competency Mind Map

[Systems Engineering & Kernel Architecture]
 ├── Windows Internals: KMDF, WDM, UMDF, Win32 APIs, NT Services, WMI, IOCTLs
 ├── Protocols & Hardware: NVMe, PCIe, USB, I2C, SPI, x86, ARM Architecture
 └── Low-Level Debugging: WinDbg, Traceview, WPP Tracing, Kernel Callbacks, Windows Hooks

[Distributed SaaS & Cloud Infrastructure]
 ├── Architecture: Multi-Tenant & Single-Tenant SaaS, Microservices, High Availability (HA)
 ├── Orchestration & Pipelines: Docker, Go Microservices, Real-Time ETL Log Analysis
 └── Domain Mastery: Digital Supply Chain Planning (DSCP), ERP Ecosystems, Flow Routing

[Agentic AI & Machine Learning Workflows]
 ├── AI Architectures: LLM Integration, Agentic Orchestration, CoPilot Server Frameworks
 ├── Deep Learning: TensorFlow, PyTorch, Scikit-learn, CNNs (LeNet-5 on ARM Microcontrollers)
 └── Data Processing: High-Throughput Time-Series Data Ingestion & Analytics

[Languages & Advanced Toolchains]
 ├── Primary Languages: Modern C++ (11/14/17), Rust, Python, Go, C#
 ├── Systems & Low-Level: C, Assembly, SQL, Boost-C++, Boost-Python
 └── Platforms & Tools: CMake, Git, Visual Studio, VS Code, IAR-Workbench, FreeRTOS, MQX

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  1. system_programming system_programming Public

    About system programming OS concepts

    Rust 2

  2. practice_dsa practice_dsa Public

    A comprehensive collection of 500+ Data Structures & Algorithms problems in C++, organized by topics. Perfect for interview prep, competitive programming, and mastering DSA concepts.

    C++ 3

  3. practice_cpp practice_cpp Public

    My practice for CPP and oops

    C++

  4. system_design system_design Public

    📚 Comprehensive C++ OOP interview preparation guide covering Constructors, Destructors, Access Modifiers, and System Design concepts with detailed examples and explanations.

    C++ 8 1

  5. practice_ai_ml practice_ai_ml Public

    Hands-on practice with ML algorithms, Agentic AI architectures, and System Design concepts. Implemented primarily in Python and C++

    Jupyter Notebook 3