The technologies we actually
run in production.

Type-safe system architecture & client contracts

High-throughput asynchronous browser runtimes

Pipelines, inference services & algorithmic logic

Complex transactional modeling & index tuning

Low-latency microservices & concurrent workers

Native iOS & macOS applications with fluid UX

Native Android & multiplatform mobile applications

Component systems that maintain speed at scale

Server rendering, edge caching & production routing

Unified codebases with native device performance

Predictable design system styling without CSS bloat

Standardized tokenized libraries built for longevity

Event-driven service layers & fast API middleware

Versioned, auditable HTTP endpoints with OpenAPI specs

Targeted data queries reducing client roundtrips

Decoupled message workers & reliable retry queues

Domain-driven boundaries that teams can own cleanly

Strict ACID transactions, JSONB & rock-solid durability

High-read replication & battle-tested storage engines

Flexible schemas for fast-evolving event payloads

Sub-millisecond caching, rate-limiting & session locks

High-dimensional similarity indexing for semantic search

Columnar storage for operational business intelligence

Serverless compute, VPCs, managed databases & IAM

Kubernetes Engine, BigQuery & distributed workloads

Enterprise directory integration & secure hybrid cloud

Hermetic container builds ensuring zero-drift environments

Self-healing deployments with automated horizontal scaling

Automated regression testing, linting & blue-green deploys

Reproducible declarative infrastructure as code

Resilient integration across OpenAI, Claude & Gemini

Chunking, reranking & grounded citations from your data

Bounded tools, state machines & human-in-the-loop gates

Automated test suites catching hallucinations before release

Fine-tuning and custom model work where an API is not enough

GPU-backed serving, batching & streaming responses under load