I build production-grade platforms, developer tooling, and AI-powered systems across backend services, frontend applications, distributed workflows, and cloud infrastructure.

My work focuses on reliability, maintainability, async processing, operational tooling, and practical AI integration — using technologies like FastAPI, Celery, MongoDB, Redis, React, Next.js, Kubernetes, and GitHub Actions.

I bring 10+ years of engineering experience from large-scale industrial environments (Valeo, Garrett), combined with hands-on experience building modern cloud-native and AI-enabled software systems.

Contributing to a production Salesforce DevOps platform across:

• Backend services and async workflows
• Celery worker systems and distributed task processing
• Frontend operational tooling and UX improvements
• CI/CD pipelines and deployment reliability
• Analytics and activity-stream systems
• AI-assisted developer tooling
• Production observability and rollout safety improvements

Core technologies: FastAPI, MongoDB, Redis, Celery, Next.js, React, Zustand, Tailwind, Kubernetes (AKS), GitHub Actions, OpenTelemetry, SSE/WebSockets.

• Production-grade backend systems
• Distributed workflows and async processing
• Internal developer platforms and operational tooling
• Reliability-focused architecture and deployment safety
• Full-stack product engineering
• AI-powered workflows and LLM integrations
• Cloud-native infrastructure and CI/CD systems

Backend-first AI platform for ingesting, enriching, and analyzing job-market data using async pipelines, LLM workflows, and a React frontend.

• FastAPI backend with async ingestion pipelines
• PostgreSQL persistence and historical snapshots
• RAG-style enrichment and recommendation workflows
• React / Next.js frontend consuming backend APIs
• Reliability-focused architecture with idempotent processing patterns
• Production-style system design and modular service boundaries

FastAPI, PostgreSQL, Celery, Redis, React, Next.js, Docker, LLM APIs

🔗 GitHub: https://github.com/msaleh1888/job-market-intelligence-platform

Production-style multimodal AI service for image and document analysis using Vision-Language Models (VLMs).

• Image + prompt → structured reasoning pipeline
• Grounded explanations and confidence-aware outputs
• Clear separation between perception, reasoning, and interpretation
• Failure-aware response handling
• API-first backend architecture

FastAPI, PyTorch, VLMs, Python, Docker

🔗 GitHub: https://github.com/msaleh1888/multimodal-visual-inspection-api

Cloud-native invoice extraction service using Azure Functions and Azure Document Intelligence.

• Invoice → structured JSON workflow
• Serverless deployment architecture
• CI/CD integration and monitoring
• Production-oriented cloud workflow design

Azure Functions, Azure Document Intelligence, Python, GitHub Actions

🔗 GitHub: https://github.com/msaleh1888/azure-serverless-invoice-extraction

End-to-end ML pipeline using Azure ML Batch Endpoints and reproducible deployment workflows.

• Batch ML pipeline architecture
• Feature engineering and K-Means workflows
• Reproducible deployment strategy
• Cloud ML operations patterns

Azure ML, Python, scikit-learn, Pandas

🔗 GitHub: https://github.com/msaleh1888/azure-ml-customer-segmentation

FastAPI microservice for embeddings, vector search, and grounded /ask responses.

• Document ingestion pipeline
• Embedding + vector-search workflow
• Retrieval-augmented answering
• Lightweight production-oriented API design

FastAPI, ChromaDB, SentenceTransformers, Groq

🔗 GitHub: https://github.com/msaleh1888/rag-llm-fastapi-microservice

Python, JavaScript/TypeScript, SQL

FastAPI, REST APIs, async programming, Celery, SSE, WebSockets

React, Next.js, Zustand, Tailwind CSS, Ant Design

MongoDB, PostgreSQL, Redis

RAG pipelines, LLM integration, prompt engineering, multimodal AI (VLMs), embeddings

Docker, Kubernetes (AKS), GitHub Actions, CI/CD pipelines, Azure, OpenTelemetry

Async workers, scheduled workflows, idempotency, retry-safe processing, rollout safety, health checks, monitoring

PyTorch, torchvision, scikit-learn, Pandas, transfer learning

• Full-Stack Software Engineering
• AI Platform Engineering
• Internal Developer Platforms
• Distributed Systems & Operational Tooling
• Production AI Systems
• Reliability-focused backend engineering
• AI-powered developer workflows

• Email: mahmoud.saleh1888@gmail.com
• LinkedIn: https://www.linkedin.com/in/mahmoud-saleh-ba57886a/
• GitHub: https://github.com/msaleh1888
• Portfolio: https://msaleh1888.github.io/portfolio-site/

If you're building production software platforms, developer tooling, or AI-powered systems, I’d love to connect.