Technologies

Component-driven interfaces for products with a lot of state: dashboards, portals, workflow tools and design systems that scale across teams.

React with routing, rendering and delivery built in: marketing sites that must rank and product frontends that must load fast on the first visit.

Opinionated, typed frontends for large enterprise applications, where structure, tooling and long-term maintainability matter more than novelty.

Lightweight, approachable frontends for admin panels, internal tools and products where a small team ships often.

Types across the frontend and the API, so refactors are safe and integration mistakes surface at build time rather than in production.

The language every browser runs and every frontend here is written in; the page says where a framework earns its place on top of it.

Semantic, accessible markup as the foundation: structured for search engines and assistive technology, and light enough to load fast anywhere.

Utility-first styling that keeps design tokens consistent across a large product, without a stylesheet nobody dares to edit.

Event-driven services and APIs in the language the frontend already speaks, and the backend most of our published work runs on.

Data pipelines, machine-learning services and automation, with the FastAPI and Django pages for the web layers around them.

Long-lived enterprise systems: banking, integration and workflow platforms where stability and a deep hiring pool matter.

Enterprise applications on the Microsoft stack, from internal line-of-business systems to APIs that sit beside Azure and Active Directory.

Content-heavy sites and commerce platforms, where the ecosystem, the hosting cost and the team’s fluency decide the language.

Structured PHP for products that outgrow a CMS: authentication, queues, billing and admin built on conventions a team can hire for.

Batteries-included Python for data-rich products: an admin, an ORM and security defaults that get a regulated product to audit faster.

Fast, typed Python APIs for serving models and data services, with schemas that generate their own documentation.

Minimal Node.js APIs and services, where a small surface beats a large framework and the team wants to see every layer.

Native and cross-platform apps for iPhone and iPad, built for App Store review, device features and the release cadence Apple sets.

Apps for the largest phone base there is, tuned for the device spread, offline use and Play Store requirements Indian and global markets bring.

Native iOS when the product needs the device itself: camera, sensors, offline performance or the platform’s own interface conventions.

Native Android for the same reasons, in the language the platform itself recommends.

One codebase for both platforms with a native-feeling interface, for products that must reach iOS and Android on one team and one budget.

Cross-platform apps for teams that already build in React, sharing logic and people with the web product.

Storefronts that launch quickly and extend cleanly, from theme work to headless builds and custom apps.

Complex catalogues, B2B pricing and multi-store commerce on Adobe Commerce, where the platform’s depth is the point.

Commerce inside WordPress for content-led brands that need a store without a second platform to run.

Headless content for products that publish to many surfaces at once, with structured models the frontend can trust.

Open-source headless CMS, self-hosted, for teams that want control of the content model, the data and the cost.

Cloud for organisations already on Microsoft: identity, data services and the compliance regions a regulated estate needs.

The cloud behind most of our production systems: compute, storage, managed databases and the controls a regulated workload needs.

Data and machine-learning workloads on BigQuery, Vertex AI and GKE, chosen where the analytics estate leads.

Simple, predictable infrastructure for products whose scale does not justify a hyperscaler’s complexity or bill.

Containers as the unit of delivery: the same image in development, test and production, on any of the clouds above.

Orchestration for systems that must scale, self-heal and roll out without downtime, and only where that need is real.

Infrastructure as code: environments that can be reviewed, reproduced and audited rather than clicked together.

Delivery pipelines beside the code: tests, security checks and deployments that run on every change.

Dashboards and alerts over the metrics, logs and traces a production system emits, so operations sees a problem before a customer does.