Ratna

Project Stash Vault

Vault 02 / archive discipline

Systems

Infrastructure under load, low-latency software, and control surfaces for complex systems.

These entries cover matching engines, inference routing, and developer infrastructure. The archive is organized around concrete engineering tradeoffs: data flow, latency, operational safety, and the interfaces that help people run systems well.

Projects

03

Featured

02

Focus

03

Working focus

Low-latency enginesOperational control planesDeveloper infrastructure

Start with the featured case file for the clearest walkthrough in this vault. Lighter entries still keep the same project and repo path.

Archive posture

The flow stays deliberate: browse the archive, open the internal case file, then inspect the public repo when source is wired. Lighter entries keep the same path without pretending to be more complete than they are.

View ProjectView RepoLow-latency enginesOperational control planesDeveloper infrastructure

Curated case files

Engineering work documented for deeper review

Read the internal case file first for architecture, decisions, and proof surfaces, then jump to the public repo when source is available.

Flagship file
Operational

A compact matching engine centered on deterministic sequencing, cache-aware data structures, and replayable correctness.

Built

Core engine implementation, replay tooling, benchmark harness design, and code structure for a maintainable performance-sensitive system.

Low-latency software is easy to romanticize and hard to build well. This project matters because it demonstrates discipline around determinism, hot-path simplicity, and observability in a domain where vague correctness is not acceptable.

Start here for the most complete walkthrough in this vault.

Strongest proof

Trace planned

Planned
C++20BenchmarkingReplay ToolingMarket Data Simulation
#matching engine#low latency#determinism#systems
View ProjectView Repo

Internal case file is live; public repo is not linked yet.

Featured file
Operational

A control plane for routing inference traffic across models while respecting latency budgets, spend constraints, and rollout safety.

Built

Routing policy design, provider abstraction, observability strategy, and control-plane architecture.

Teams using multiple model providers eventually need hard decisions about cost, latency, rollout risk, and fallback behavior. Those decisions belong in a reliable control surface, not scattered through application code.

Strongest proof

Repo available

Available
GoAWSOpenTelemetryPolicy DesignService Control
#control plane#ai systems#routing#observability
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Vault 02 / 2025

Code Search Index v2

Operational

A retrieval stack for large codebases with incremental indexing, responsive query serving, and developer-oriented search ergonomics.

Built

System architecture, indexing and retrieval design, storage strategy, and product framing for a developer-facing search surface.

Search quality in engineering tools is not just about embeddings or ranking models. It is also about update cost, cache design, index freshness, and whether results arrive fast enough to stay inside a real workflow.

Strongest proof

Diagram planned

Planned
PythonGoPostgreSQLFaissRedis
#search#retrieval#developer infrastructure#indexing
View ProjectView Repo

Internal case file is live; public repo is not linked yet.