Chosen for the problem, not the résumé.
We have preferences and we’ll defend them, but the deciding question is always what your team can operate at three in the morning — not what we most enjoy writing.
Frontend
5 technologiesReact
4 projectsComponent-driven UI at enterprise scale.
Next.js
9 projectsHybrid rendering, edge delivery, and SEO by default.
TypeScript
16 projectsEnd-to-end type safety across the stack.
Tailwind CSS
Token-driven styling with zero runtime cost.
Vue
Progressive framework for incremental modernization.
Mobile
4 technologiesReact Native
7 projectsOne codebase, native feel on iOS and Android.
Swift
Native iOS where performance is non-negotiable.
Kotlin
Native Android with coroutine-based concurrency.
Flutter
Pixel-consistent cross-platform interfaces.
Backend
6 technologiesNode.js
10 projectsEvent-driven services for I/O-heavy workloads.
Python
10 projectsThe lingua franca of data and machine learning.
FastAPI
5 projectsTyped, async Python APIs with generated docs.
Go
4 projectsLow-latency services with predictable memory.
.NET
Enterprise workloads with long support horizons.
GraphQL
1 projectClient-shaped queries over federated domains.
Data
6 technologiesPostgreSQL
19 projectsRelational core with JSON and geospatial reach.
Redis
9 projectsSub-millisecond caching, queues, and rate limits.
Apache Kafka
7 projectsDurable event backbone for real-time systems.
Snowflake
1 projectElastic warehousing with workload isolation.
ClickHouse
1 projectColumnar analytics at billions of rows.
Elasticsearch
2 projectsRelevance-tuned search and observability.
AI & ML
4 technologiesPyTorch
1 projectResearch-grade training and custom architectures.
LLM Systems
2 projectsRetrieval, evaluation, and guardrails in production.
Computer Vision
1 projectDetection and inspection on real-world imagery.
MLOps
2 projectsVersioned data, reproducible training, safe rollout.
Cloud
4 technologiesAWS
8 projectsMulti-account landing zones and managed services.
Azure
1 projectIdentity-centric enterprise cloud estates.
Google Cloud
4 projectsData and ML-forward platform workloads.
Kubernetes
5 projectsPortable orchestration with policy guardrails.
DevOps
4 technologiesTerraform
2 projectsInfrastructure as reviewable, testable code.
Docker
7 projectsReproducible builds from laptop to production.
GitHub Actions
1 projectPipelines that gate every merge.
Observability
3 projectsTraces, metrics, and SLOs that page a human.
How we actually decide
Four questions, applied in order. Most technology arguments resolve at the first or second.
- 01
Can your team operate it?
The best technology your team can't run at 3 a.m. is worse than the adequate one they can. This question eliminates more candidates than the other three combined.
- 02
Does the problem actually require it?
Most systems described as needing real-time streaming need a nightly batch job. We ask what decision changes if the data is an hour old, and the answer is frequently 'nothing'.
- 03
What does it cost when it fails?
Every dependency is a failure mode you've adopted. We weigh operational blast radius more heavily than feature richness.
- 04
Can you leave it?
We prefer choices with credible exits. Where lock-in is genuinely worth accepting — and sometimes it is — we say so explicitly rather than letting it accumulate silently.