SUNNI KUMAR
Architecting AI that survives contact with production.
I design the layer between an AI model and production — event backbones, service boundaries, and the pipelines that ship them.
Ten-plus years of .NET architecture behind it.
- .NET
- C#
- ASP.NET Core
- EF Core
- LINQ
- Async/Await
- Clean Architecture
- CQRS
- Domain-Driven Design
- gRPC
- REST
- DDD
- SQL Server
- PostgreSQL
- MongoDB
- Redis
- Apache Kafka
- Microsoft Azure
- AWS
- Docker
- Kubernetes
- GitLab CI/CD
Where the judgement actually lives.
.NET Architecture
A decade of C# means the framework is not the interesting part — the decisions are. Getting service boundaries, dependency direction and data ownership right while they are still cheap to change.
Cloud Platforms
The unglamorous layer between a codebase and something that runs reliably at three in the morning without a human involved.
Data & Integration
How state moves through a system, and what happens when it never arrives. Event backbones, idempotency, and the failure paths nobody demos.
Applied AI
Shipping models as products: the serving layer, the fallbacks, and the engineering that decides whether a model is usable by anyone but its author. The modelling is the part everyone discusses; the platform is the part that decides whether it works.
Technical Leadership
Owning the architecture and the delivery. Architecture that only one person understands is a liability, not an asset.
Not everything here was somebody's brief.
My employment history lives on LinkedIn. This is the other half — products and tools I started because I wanted to see whether something could be done a particular way.
ProgramAlpha
An interview-preparation platform built pattern-first: learn the pattern, solve the problem, get judged in your own browser.
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What has my attention at the moment.
- [ADD — what Sunni is currently building at work, described as a technical problem rather than a client or a headline number.]
- Event-driven architecture with Kafka, and keeping .NET services correct under concurrent load.
- Applied AI platform engineering — the serving, integration and failure-handling layer around a model.
- [ADD — what Sunni is currently studying. New platform, new language, or a deeper cut into something already in the stack.]
- [ADD — an open question, experiment or side interest worth thinking about out loud.]
- [ADD — current book, paper or long-form piece.]
- [ADD — a working theory about software, teams or the industry.]