I will architect a secure, high performance ai backend infrastructure


About this gig
Stop letting fragile AI prototypes crash your production environment.
Most AI startups build wrappers that work perfectly for a demo. But the moment 100 users hit your blocking API, the event loop starves, VRAM exhausts, and the system crashes.
I build infrastructure that doesn't break. Forged by a decade in high-volume manufacturing QA-where failure meant halting physical production-I apply absolute "zero-fail" rigor to software architecture. I specialize in moving AI out of the prototype phase and into deterministic, enterprise-grade production.
Whether you need to decouple a blocking Python backend using Celery/Redis, engineer an air-gapped Docker sandbox to safely execute LLM-generated code, or optimize local inference with C++ bindings, I build the containment architecture to make your platform scale safely.
Core Capabilities:
- Zero-Trust Security: Air-gapped Docker execution & AST mutation testing
- Asynchronous Pipelines: FastAPI, Celery, ZeroMQ, & Redis brokers.
- Hardware Optimization: VRAM telemetry & C++ DMA orchestration.
- Local MLOps: Autonomous DPO fine-tuning & Vector DBs (Qdrant).
Please message me before ordering so we can audit your architecture.
Get to know Marquis Sanchez
Python, Rust and MLOps Engineer
- FromUnited States
- Member sinceJun 2024
- Avg. response time1 hour
Languages
English
