Paul M.

I'm a backend and cloud engineer with 4+ years of experience designing and shipping production systems that scale. My work spans high-throughput microservices, AI/LLM-powered platforms, and cloud-native infrastructure, all built to be reliable, efficient, and cost-effective. Most recently, I lead backend engineering at New Age, where I architect distributed APIs serving millions of requests per day. I've also built AI data pipelines for audio transcription and sentiment analysis, reducing processing latency by 40% using Celery, RabbitMQ, and Redis. My projects speak for themselves. I've shipped the backend for a Grammar AI app with 532,000+ users on the App Store, integrated OpenAI, Claude, and Gemini APIs for document processing, and deployed production APIs across GCP and Azure. I also built an OCR pipeline using Azure Computer Vision for a live currency converter app. I work confidently across the full backend stack, from RAG pipelines and vector embeddings to PostgreSQL schema design, Docker/Kubernetes deployments, and Terraform-managed cloud infrastructure on AWS, GCP, and Azure. Let's build something scalable. Drop me a message and I'll respond within a few hours.