Mohammad Abdalrazzak

Remote

• Led an analytics performance initiative: re-architected IoT analytics around ClickHouse, achieving 99%+ faster queries versus the previous solution and unlocking interactive dashboards over high-volume sensor data.
• Designed and maintained real-time alarm & alerting logic over live IoT readings and thresholds, enabling early detection of abnormal conditions and proactive maintenance workflows.
• Built and operated event-driven microservices on RabbitMQ — consuming, processing, and debugging real-time IoT events and asset-lifecycle workflows at scale.
• Delivered backend features across large-scale asset-management & predictive-maintenance systems: IBMS, Ignite Meter, Ignite Shield, and Facilitrol-X.
• Drove performance profiling and bottleneck analysis on high-throughput services, and improved observability with Grafana dashboards and metrics for faster production debugging.
• Contributed backend features and integrations to ClimaCert-X, an AI + IoT sustainability-certification platform.

ClickHouse · RabbitMQ · Node.js · TypeScript · NestJS · Grafana · Docker · Microservices

A digital e-menu system that replaces printed menus with real-time, multilingual menus restaurants can update instantly — cutting waste while speeding up service.

• Led the team building the platform end to end, cutting paper use by 90% and menu-update costs by 50%.
• Improved order efficiency by 15% through a streamlined, mobile-first ordering flow.
• Ran a process re-engineering effort to consolidate fragmented service flows into one pipeline.

Node.js · NestJS · MySQL · Prisma · Redis · Swagger/OpenAPI · i18n · Ubuntu

A computer-vision system that classifies structural damage levels in war-affected buildings from imagery and estimates reconstruction cost to support planning and prioritization.

• Detects and grades damage severity directly from building imagery.
• Estimates reconstruction cost to help prioritize rebuilding efforts.

Python · Computer Vision · Deep Learning

An NLP system that generates age-appropriate children's stories, adapting vocabulary, tone, and themes to a target age range.

• Generates coherent, age-appropriate narratives on demand.
• Adapts complexity and tone to the reader's age.

Python · NLP · Machine Learning

2021 — 2026 · Aleppo, Syria

• Studying Computer Science at one of Syria's leading universities.
• Trained for the ICPC international collegiate programming contest.
• Graduation project: AI damage analysis for war-affected buildings (computer vision).