What this makes possible
We design resilient multi-tier architectures: modern React/Next.js client applications, high-performance Python/Go API gateways, distributed vector and relational storage (PostgreSQL/pgvector, ClickHouse), and orchestrated inference engines backed by comprehensive telemetry (OpenTelemetry, Prometheus).
Where we focus
- AI-native SaaS product architecture
- Enterprise AI feature engineering & modern UX
- High-throughput backend systems & gRPC APIs
- Model serving infrastructure (vLLM, Triton, Ray)
- Semantic caching & inference cost optimization
- Automated CI/CD evaluation harnesses
- Real-time streaming (SSE, WebSockets, WebRTC)
- Production observability, tracing & latency profiling
How we build it
Full-Stack AI Architecture
From custom UI components with streaming responses to distributed microservices engineered for high concurrency.
Semantic Caching & Cost Controls
Evaluate caching and prompt compaction against representative tasks, measuring cost savings alongside answer quality.
Evaluation & CI/CD Pipelines
Automated regression testing that runs every code change against golden test sets before promoting to production.
Observability & Latency Profiling
End-to-end distributed tracing across model calls, database queries, and external APIs with automated anomaly alerting.