Tech Expertise

We speak your stack.

31 production technologies across frontend, backend, mobile, cloud and AI — matched to your architecture, not ours.

Full Stack Coverage

Every technology we staff senior people in.

Each one links to the engineers who work in it. If your stack is not listed, ask — we will tell you honestly whether we can staff it.

Frontend

What your users actually touch — rendering strategy, performance budget and accessibility decided up front.

React.js Component architecture, render cost and server state handled deliberately. Next.js App Router, server components and the caching model that trips most teams up. Vue.js Vue 3 Composition API, with Nuxt where server rendering is required. Angular Standalone components, signals and disciplined RxJS for large teams. TypeScript Strict mode from day one, with types that model the domain.

Backend

APIs and data models designed as contracts, and built to be operated at three in the morning.

Node.js Event loop, backpressure and streams understood, not just used. Python Typed, tested Python across web services and data pipelines. Django ORM used efficiently, migrations that are safe against real row counts. FastAPI Async done correctly, with Pydantic models as the API contract. Laravel Eloquent without the N+1 tax, queues for anything slow. Java / Spring Spring Boot 3, JPA tuning and message-driven architecture. Go Predictable latency, goroutine lifecycles tied to context. .NET Modern .NET with EF Core used efficiently and async handled properly. GraphQL Schemas that stay coherent, with dataloader batching and depth limits.

Mobile

One codebase when that is the right call, native when it is not — argued on merit before you commit.

Flutter Pixel-identical UI across platforms, profiled on mid-range devices. React Native New Architecture, Expo, and native modules when needed. Swift SwiftUI with UIKit where it is still stronger, structured concurrency. Kotlin Jetpack Compose, coroutines and Flow with lifecycle-aware collection.

Cloud & DevOps

Infrastructure that stops being the bottleneck, with a cloud bill that makes sense.

AWS Services chosen against your team's operational capacity, not the diagram. Google Cloud Cloud Run, GKE and BigQuery with scanned bytes kept under control. Azure Entra ID integration, landing zones and governance done properly. Docker Reproducible builds and minimal images that are quick to ship. Kubernetes Only where it earns its place — and operable by your own team. Terraform Environments genuinely reproducible from the repository.

Data & AI

Pipelines that fail loudly, models that survive production, and costs modelled before launch.

PostgreSQL Schema design, indexing and query tuning as first-class work. MongoDB Documents modelled around access patterns, indexes that match the queries. Redis Caching and queue patterns with sensible eviction and persistence. Elasticsearch Search and analytics with mappings designed for the queries you run. TensorFlow Training-to-serving consistency and monitoring for drift. LangChain Retrieval pipelines with reranking, evaluation and guardrails. OpenAI LLM integration with cost modelled and fallbacks defined.

FAQ

Common questions.

Do I have to pick from this list?

No. These are the technologies we have senior people in right now, which is why we list them specifically rather than claiming everything. If your stack sits outside it, tell us — we will either say we can staff it honestly, or say we cannot.

Which stack should we choose for a new product?

Usually the one your team can maintain after we leave. Where the choice is genuinely open, we recommend against your workload profile, your hiring market and the infrastructure you already run — not against what is currently fashionable.

Can engineers work across several of these?

Most are strong in one area and competent in a second. We tell you which way a given engineer leans before you interview them, because pretending otherwise helps nobody.

Do you work with legacy versions?

Yes, and a good share of our work is exactly that — older Angular, .NET Framework, Django or Laravel applications. We usually stabilise and add test coverage before changing behaviour.

Explore services

Dedicated Developers Custom Software Web Development Mobile Apps DevOps & Cloud AI / ML Integration

Get In Touch

Tell us what you are building.

Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.

Or email info@nimlogixtechnologies.com