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Full stack delivery
End-to-end product engineering—from APIs and data to polished UIs—with clear milestones and ownership.
We design and ship cohesive systems: REST/GraphQL APIs, background jobs, authentication, and responsive frontends tuned for performance and maintainability. Engagements are scoped for traceable outcomes: thin vertical slices first, then hardening and scale.
- api
- graphql
- rest
- typescript
- react
- authentication
- ci-cd
Backend & platforms
Reliable services, integrations, and cloud-native architecture your team can operate and extend.
Microservices or modular monoliths, event-driven flows, observability, and CI/CD so your platform scales with confidence. We emphasize contracts, idempotency, and runbooks so incidents are rare and recoverable.
- microservices
- event-driven
- observability
- kubernetes
- aws
- node
- java
Databases & data modeling
Postgres, analytics stores, migrations, and query performance—with correctness and operability under load.
Schema design, indexing strategy, replication, ETL patterns, and operational playbooks for correctness under load. We align models to access patterns early so you are not fighting the database at scale.
- postgres
- sql
- etl
- migrations
- indexing
- replication
Frontend & UX engineering
Modern frameworks, design systems, and accessible interfaces that stay fast on real networks.
Component libraries, SSR/SSG where it matters, and performance budgets so pages feel instant on real networks. We pair engineering rigor with sensible UX defaults: focus management, semantics, and resilient loading states.
- react
- typescript
- ssr
- ssg
- accessibility
- design-systems
- astro
Data analytics
Pipelines, warehouses, and dashboards that teams actually use—grounded in definitions and data quality.
From event instrumentation to BI layers: modeling, quality checks, and self-serve analytics without spreadsheet chaos. We make lineage and metric definitions explicit so numbers stay trustworthy.
- analytics
- warehouse
- etl
- bi
- events
- modeling
LLM integrations
Production-grade AI features: safe defaults, observable calls, and guardrails matched to your risk profile.
Prompt design, retrieval, evaluation harnesses, cost controls, and guardrails aligned with your risk profile. We instrument latency, token usage, and failure modes so you can iterate without flying blind.
- openai
- claude
- llm
- rag
- prompts
- guardrails
- evaluation
AI implementation
Routing, orchestration, and monitoring that connect models to your stack with clear operational boundaries.
We connect models to your stack with tracing, fallbacks, and human-in-the-loop workflows. Multi-model routing, caching, and policy layers keep behavior predictable as vendors and models evolve.
- openai
- aws-bedrock
- orchestration
- tracing
- cohere
- llm
Agentic AI
Multi-step agents with tools, memory, and explicit boundaries—built for auditability and control.
Tool-use patterns, planning loops, sandboxing, and audit trails so autonomous workflows stay predictable. We design stop conditions and escalation paths before expanding autonomy.
- agents
- tools
- openai
- claude
- orchestration
- safety
Modernization & platform engineering
Sequence legacy uplift, developer experience, and platform guardrails so each release reduces risk instead of adding it.
Strangler migrations, API stabilization, testing strategy, and paved-road tooling for faster, safer releases. We map dependencies and blast radius early, run parallel cutovers where needed, and leave your team with standards—not one-off heroics.
- modernization
- platform
- aws-bedrock
- openai
- claude
- cohere
- rag
- react-native
- ionic
- ios
- android
- migration
- devops