Lead Backend Engineer • Distributed Systems & AI Infrastructure
Lead Backend Engineer with 8+ years of experience engineering high-availability backends, distributed data workflows, and production AI infrastructure.
My expertise centers on building scalable Python (FastAPI, Django) architectures, multi-LLM routing gateways, Server-Sent Events (SSE) streaming, resilient asynchronous workers (Celery, Redis), and multi-tenant SaaS data models on PostgreSQL and AWS.
High-throughput asynchronous backend architecture handling real-time token streaming, multi-provider LLM failover, and Swiss DSG-compliant document RAG pipelines.
Engineered scalable multi-tenant architectures, granular RBAC permission frameworks, and high-throughput payroll/lifecycle asynchronous task processing.
Built data aggregation pipelines, automated survey scheduling engines, and analytical reporting services processing real-time organizational metrics.
Python, FastAPI, Django, Django REST Framework, Asynchronous I/O, REST APIs, SSE Streaming
Multi-LLM Orchestration (OpenAI, Claude, Gemini), Vector Embeddings, RAG Pipelines, Context Management
PostgreSQL, Redis, Celery, Relational Database Modeling, Schema Migrations, Connection Pooling
AWS (ECS, RDS, S3), Docker, Multi-Tenant Isolation, Enterprise RBAC, CI/CD Pipelines