AVAILABLE FOR FULL-TIME ROLES & COLLABORATIONS

Taif, Saudi Arabia

Sadeem AlBoqami

Computer Engineer | AI Infrastructure | Edge AI

Building low-latency inference pipelines, embedded robotics, and scalable AI infrastructure.

  • NVIDIA Jetson
  • ROS 2
  • PyTorch
  • TensorRT
  • Docker
  • Kubernetes

Focus Areas

04 NODES REGISTERED
NODE 01ONLINE

Edge AI & MLOps

Deploying optimized deep learning models locally on edge devices using TensorRT and PyTorch for real-time, low-latency inference pipelines.

NODE 02ONLINE

AI Infrastructure & Operations

GPU workload orchestration, containerized microservices (FastAPI, Docker, Kubernetes), and telemetry observability with Prometheus and Grafana.

NODE 03ONLINE

Embedded Systems & IoT

Hardware-software co-design interfacing microcontrollers, camera modules, and sensors with device-to-cloud telemetry pipelines.

NODE 04ONLINE

Robotics & Autonomous Systems

Sensor fusion, motor control, and perception stacks using ROS 2, ARM, and ESP32 microcontrollers for autonomous mobile systems.

Professional Experience

CAREER_DEPLOYMENTS // FIELD_OPERATIONS

DEPLOY_01Riyadh, Saudi Arabia (Remote)

AI Data Center Operations Fellow

Aug 2026 — Present

Saudi Digital Academy (SDA) × WeCloudData

Full-time intensive program on hyperscale AI infrastructure, high-performance computing (HPC) cluster operations, GPU workload orchestration, and containerized microservice architectures.

  • Data Center Operations
  • GPU Clusters
  • Docker
  • Kubernetes
  • Linux
  • FastAPI
DEPLOY_02Saudi Arabia

Robotics & Embedded Systems Intern

Summer 2025

Smart Methods (الأساليب الذكية)

Full-stack robotics training and development covering embedded system interfacing, ROS middleware, motor driver HATs, sensor integration, and autonomous mobile robot kinematics.

  • ROS 2
  • Embedded Systems
  • Hardware-Software Co-design
  • Microcontrollers
  • Python
  • C++

Featured Projects

02 LOGS FOUND
~/projects/precrash-ai.logCompleted

PRECRASH AI: Road Safety & Traffic Diagnostic System

Reactive collision systems respond too late in dense environments. Engineered an AI system integrating YOLOv8 and LSTM to predict collision hazards and traffic risks in real time.

  • YOLOv8
  • LSTM
  • NVIDIA Jetson Orin Nano
  • ROS 2
  • TensorRT
  • CARLA
  • Python
Deployment
Jetson Edge
Pipeline
Real-time sync
[ VIEW CODE ]
~/projects/ai-inference-microservice.logCompleted

Low-Latency AI Inference & Observability Service

Deploying scalable deep learning inference microservices with containerization, low-latency API response, and telemetry monitoring pipelines.

  • FastAPI
  • Docker
  • Kubernetes
  • Prometheus
  • Grafana
  • Linux
Stack
GPU Orchestration
Telemetry
Live Grafana

Technical Skills

CORE_ENGINEERING_COMPETENCIES

Programming & Systems

5 TECHNOLOGIES
PythonC++SQLLinux / UbuntuBash

Frameworks & Edge AI

6 TECHNOLOGIES
PyTorchROS 2NVIDIA TensorRTOpenCVYOLOv8FastAPI

AI Infrastructure & DevOps

6 TECHNOLOGIES
DockerKubernetesPrometheusGrafanaMLOpsGit

Hardware & Platforms

3 TECHNOLOGIES
NVIDIA Jetson Orin NanoESP32ARM Microcontrollers

Certifications & Honors

04 VERIFIED CREDENTIALS
LOG_01AI Data Center Operations Program
Saudi Digital Academy (SDA) & WeCloudData2026
LOG_02AI Skills Accelerator (Advanced ML & MLOps)
IBM & King Saud University2026
LOG_03Getting Started with AI on Jetson Nano
NVIDIA Deep Learning Institute2026
LOG_04Full Stack Robotics Engineer
Smart Methods2025