AI platforms, backend systems, cloud delivery

Building the backend control planes behind AI products.

Backend-focused senior engineer building AI platforms, distributed systems, developer tooling, and cloud-native infrastructure. I work across Node.js, TypeScript, Python services, Kubernetes, observability, data pipelines, and modern web platforms with a strong bias toward production reliability and developer experience.

Abu Dhabi, UAEAI platforms, distributed systems, developer tooling
AI Platform ConsoleSenior
platform.status
Inferencerouted
Deploymentsmulti-env
Logsindexed
Datapolyglot
AI platform services
Inference routing
Backend architecture
Admin platforms
Ahmed Ali M. Soliman

Senior Software Developer / Platform Engineer

Ahmed Ali M. Soliman

Impact

A senior engineer shaped by product pressure and platform responsibility.

I design backend-heavy AI platforms where inference services, admin tooling, observability, data systems, and Kubernetes infrastructure operate as one reliable product surface.

7+

Years building production systems

Backend services, AI platform operations, distributed infrastructure, and internal developer platforms.

AI

Platform engineering focus

Inference routing, platform operations, admin ecosystems, documentation systems, and AI workflow tooling.

K8s

Cloud-native delivery

Multi-environment deployments, Helm, ArgoCD-style operations, Docker, reliability work, and environment consistency.

Obs

Operational visibility

Elasticsearch, Kibana, Datadog, structured logging, service activity tracking, and production debugging.

Platform Builder

A control-plane mindset for AI infrastructure.

The strongest story is not a list of tools. It is the ability to connect product surfaces, backend services, runtime infrastructure, observability, and developer workflows into one dependable platform.

Inference

routed

Deployments

multi-env

Logs

indexed

Data

polyglot

Runtime topology

AI platform operating surface

Experience Layer

Next.js portals, admin surfaces, documentation systems, and developer-facing workflows.

Admin portal
Docs
Content controls
Feature flags

Platform Services

TypeScript and Python services powering APIs, inference routing, operations, and internal tooling.

REST APIs
WebSockets
Inference routes
Operational APIs

Runtime & Data

Kubernetes workloads connected to Cassandra, Elasticsearch, Postgres, Redis, Pulsar, Kafka, RabbitMQ, and Datadog.

Kubernetes
Cassandra
Elasticsearch
Postgres
Pulsar
Redis
deploy: stablelatency: tracedlogs: searchable
Stack

A backend-first stack for AI platforms and distributed systems.

The stack is organized around platform outcomes: inference APIs, admin operations, runtime infrastructure, data movement, observability, and developer experience.

AI Platform & Data

AI inference routingPython servicesOpenAI-compatible APIsCassandraElasticsearchPostgresRedisPulsarKafkaRabbitMQData pipelinesStructured logging

Backend Architecture

TypeScriptNode.jsExpress.jsFastAPIREST APIsWebSocketsMicroservicesAPI designSQLEvent-driven systems

Cloud & Reliability

KubernetesDockerHelmArgoCDAWSJenkinsCI/CD pipelinesLinuxDatadogKibana

Product & Developer Experience

Next.jsReactTailwind CSSEJSAdmin portalsSwagger/OpenAPIDeveloper toolingVSCodeDocumentation systemsInternal tools
Experience

Production experience across AI platforms, backend services, and infrastructure.

The through-line is practical platform ownership: build the service, expose the control surface, deploy it safely, observe it clearly, and make it easier for other engineers to operate.

June 2023 - Present

Avr Technologies

Senior Software Developer

Building AI platforms, cloud-native infrastructure, backend systems, admin ecosystems, and developer tooling powering internal and customer-facing AI services.

Built and enhanced AI platform services for inference, platform operations, and internal automation workflows.

Developed scalable Node.js and TypeScript backend services, internal APIs, and operational tooling for platform management.

Designed modern admin portal systems for users, invitations, access control, content, feature flags, and platform configuration.

Maintained Kubernetes deployments across environments and improved deployment automation, consistency, and reliability.

Implemented observability and logging workflows with Elasticsearch, Kibana, Datadog, structured logs, and service activity tracking.

Worked on distributed data and messaging infrastructure involving Cassandra, Elasticsearch, Postgres, Redis, Pulsar, Kafka, RabbitMQ, and failover-aware operational patterns.

September 2019 - May 2023

HCL Technologies

Senior Software Engineer

Worked on enterprise backend systems, distributed applications, integrations, internal tooling, and cloud-oriented modernization initiatives.

Developed scalable backend APIs and services for enterprise application environments.

Worked on event-driven and distributed architectures, integrations, and internal tooling.

Improved system performance, reliability, and maintainability across backend service surfaces.

Participated in enterprise application modernization and production delivery workflows.

March 2017 - May 2019

Omdurman Ahlia University

Infrastructure Engineer

Supported university infrastructure, datacenter modernization, virtualization, security operations, and internal software systems.

Helped design and implement a university datacenter and managed virtualized environments with XenServer and VMware.

Maintained university systems, including student services and KOHA, while supporting staff and student users.

Improved operations through monitoring, patch automation, network security controls, documentation, and disaster recovery drills.

Featured Systems

Platform work presented as product surfaces, not resume bullets.

Each project is framed around the system it enabled: AI operations, admin control, observability, distributed migrations, and developer velocity.

Operating Style

Product-minded engineering with systems depth.

The platform identity is built around maintainability, scale, developer experience, and practical reliability. Beautiful interfaces matter, but they have to sit on systems that can be operated.

Systems thinking before isolated features

Product-minded internal tooling

Operational clarity through logs, traces, and dashboards

Maintainable backend architecture

Developer experience as platform leverage

Practical reliability over theoretical elegance

Information Architecture

A personal platform with room for knowledge, demos, and control.

The site is organized like a living developer platform: identity today, project case studies next, then articles, experiments, gallery assets, and eventually admin-managed content.

Live foundation

Engineering Identity

Portfolio, platform story, experience, systems focus, and flagship AI/backend projects.

Ready for MDX/CMS

Knowledge Layer

Technical writing, project case studies, architecture notes, galleries, and dynamic content sources.

Admin-ready

Control Plane

Route reserved for auth, dashboards, analytics, content management, and backend integration.

Credentials

Certified, multilingual, and built for cross-functional delivery.

View all certifications
AWS Certified Cloud Practitioner certificate

Certification

AWS Certified Cloud Practitioner

Amazon Web Services

AWS Certified Solutions Architect certificate

Certification

AWS Certified Solutions Architect

Amazon Web Services

Let’s build AI platforms that feel polished and operate cleanly.

Available for senior backend, AI platform, developer tooling, distributed systems, and cloud-native engineering conversations.