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  • Red Hat
  • Pune

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Abhinav0002/README.md


   



     

  About

const ABHINAV: Engineer = Engineer {
    role:     "Systems Engineer",
    company:  "Red Hat",
    team:     "OpenShift Data Foundation / Ceph",

    daily:    &["Debugging distributed storage failures in production",
               "Reproducing customer bugs in local clusters",
               "Bridging customers ↔ product engineering"],

    prev:     &["Computer vision for XR on embedded Linux — Vizontech",
               "VAPT & security consulting — Arridae Infosec"],

    building: &["NovusOS — bare-metal AArch64 OS in Rust",
               "Visual SLAM with ORB-SLAM3 + custom IMU hardware",
               "Edge-cloud ML platform on NVIDIA Jetson"],
};

  Tech Stack

Languages

Cloud & Containers


     

DevOps & Observability

ML & Computer Vision


   

Systems & Platforms

Security

       

  Featured Projects

NovusOS

Bare-metal operating system for AArch64 — monolithic kernel with preemptive scheduler, TCP/IP stack, FAT32 filesystem, VirtIO drivers, and a graphical UEFI desktop with interactive shell. Boots on QEMU and VMware Fusion.

Rust AArch64 UEFI ARM64

Monocular-Inertial-Slam

Real-time visual SLAM using ORB-SLAM3 with a webcam and ICM-20948 IMU via Arduino Nano. Custom firmware for high-speed IMU streaming, camera-IMU synchronization, and upstream bug fixes.

C++ OpenCV Arduino ORB-SLAM3

edge-cloud-ml

Edge-cloud ML platform for distributed model training and real-time inference on NVIDIA Jetson devices. Model registry with versioning, MQTT-based distribution, and Prometheus + Grafana observability.

Python FastAPI MQTT Docker

sos_analyzer

ML-powered analyzer for Linux SOS reports. Detects storage issues across Disk, LVM, RAID, Multipath, and Ceph clusters. Features anomaly detection, failure prediction, and automated report generation.

Python Streamlit ML Ceph

sample-operator

Kubernetes Operator that manages a custom App CRD, reconciling it into Deployments with automatic drift correction, replica scaling, and cleanup via OwnerReferences.

Go Operator SDK OpenShift

azure-mlops-project

End-to-end MLOps pipeline on Azure — model training, containerized FastAPI inference, ACR + AKS deployment, Terraform provisioning, Prometheus/Grafana monitoring, and Trivy security scanning.

Python Azure Terraform AKS

  GitHub Analytics




  Certifications



Red Hat Certified
System Administrator
Red Hat

Red Hat Certified Specialist
in Containers
Red Hat

Certified
Ethical Hacker
EC-Council

  Let's Connect

        




Pinned Loading

  1. azure-mlops-project azure-mlops-project Public

    Python

  2. sample-apps-for-robotics-platforms sample-apps-for-robotics-platforms Public

    Forked from quic/sample-apps-for-robotics-platforms

    C

  3. sample-operator sample-operator Public

    Go

  4. sos_analyzer sos_analyzer Public

    Advanced ML-powered analyzer for Linux SOS reports. Detects storage issues, predicts failures, tracks trends, and generates professional reports. Supports RHEL storage (Disk/LVM/RAID) and Ceph clus…

    Python

  5. edge-cloud-ml edge-cloud-ml Public

    Edge-cloud ML platform for distributed model training and real-time inference on NVIDIA Jetson devices. Built with FastAPI, MQTT, Docker, Prometheus, and Grafana

    Python