Four disciplines, one connected stack.
Frontend & Product
Interfaces that feel instant and hold up under real usage, not just in a demo recording.
TypeScript
Type safety on every line of business logic, not just the easy parts.
React
The default we reach for when interactivity actually matters.
Next.js
Server rendering, routing, and edge delivery without reinventing them.
React Native
One engineering core shared across iOS and Android.
Swift
Native when the platform genuinely calls for it.
Node.js
Fast iteration for I/O-heavy services and APIs.
Go
Where throughput and predictable latency actually matter.
Python
Data pipelines, ML tooling, and everything that touches a model.
PostgreSQL
The default datastore until there's a specific reason not to be.
GraphQL
One typed contract between frontend and backend teams.
LLM Orchestration
Governed tool access and multi-step reasoning, not a single prompt call.
Vector Search
Retrieval that scales past a few hundred documents.
RAG Pipelines
Answers grounded in your actual data, not the model's memory.
PyTorch
When the off-the-shelf model isn't the right fit.
Airflow
Scheduled, observable pipelines instead of cron jobs nobody trusts.
AWS
The default cloud unless your workload says otherwise.
Kubernetes
When you actually need the orchestration, not before.
Terraform
Infrastructure changes reviewed like code, because they are code.
Docker
Consistent environments from a laptop to production.
GitHub Actions
CI/CD that lives next to the code it tests.