- Basekick-Labs/arc#769 โ โ
Merged ยท
ingest/msgpack: log numeric host coercion at debug level (Go, performance-verified, 3 review rounds) - firstcontributions/first-contributions#124856 โ โ Merged ยท Added contributor entry
AI INFRASTRUCTURE ยท BACKEND ยท SYSTEMS
I build the infrastructure that keeps AI systems running when things go wrong.
LLM providers fail. Requests get rate-limited. Latency spikes. Models become unavailable.
That's the layer I'm interested in.
I build systems around AI that handle failure instead of pretending it doesn't exist:
- โก Intelligent gateways and provider routing
- ๐ก๏ธ Automatic failover and resilience
- ๐ฆ Rate limiting, retries and circuit breakers
- ๐ฆ Response caching and streaming
- ๐ Observability and infrastructure metrics
- ๐ค Experiments with agents and local AI
- ๐ง Low-level machine learning from scratch
If it breaks, I build a layer around it.
Currently focused on AI Infrastructure, LLM Routing, Resilience Engineering, and Agent Systems.
Bug manufacturer ๐ ยท Professional bug exterminator ๐จ ยท Occasional Rust compiler argument loser ๐ฆ
Languages
Go ยท Rust ยท Python ยท C ยท JavaScript
AI / LLM
LLM Gateways ยท AI Agents ยท Embeddings ยท Semantic Search ยท LLM Streaming
Infrastructure
Docker ยท Linux ยท Prometheus ยท OpenTelemetry ยท Redis ยท REST APIs
Exploring
Distributed Systems ยท Provider Routing ยท Circuit Breakers ยท Observability ยท Local AI
AI Gateway ยท Failover ยท Resilience
An intelligent proxy designed to sit between AI applications and model providers.
It handles provider failover, smart routing, rate limiting, caching and observability.
Stack: Go HTTP Prometheus YAML OpenAI-compatible APIs
- ๐ Provider failover
- ๐ฏ Smart routing
- ๐ฆ Rate limiting
- ๐พ Response caching
- ๐ก Prometheus metrics
- ๐ Live dashboard
- ๐ Retry policies
- ๐ฅ Health checks
Neural Networks ยท From Scratch ยท Android
An experiment focused on understanding AI from the inside instead of hiding everything behind frameworks.
Built from an Android phone using Python + NumPy + Termux.
No PyTorch. No TensorFlow. No shortcuts.
Stack: Python NumPy Android Termux
- ๐งฎ Neural networks from scratch
- ๐๏ธ Vision experiments
- ๐ง Memory systems
- ๐๏ธ Voice experiments
- ๐ค Agent experiments
- โ๏ธ Optimization and training
Semantic Code Search ยท Local AI Embeddings
A code search engine focused on meaning instead of keywords.
Search for what the code does, not just what the code is called.
Stack: Rust AI Embeddings Semantic Search
Experimental Python Project
A project currently under development.
Status: STEALTH
Low-Level Systems ยท C
A low-level C project focused on keeping things simple, raw and fast.
Because sometimes Go is just too high-level.
Stack: C Systems Programming Low Level
Rust ยท Systems Engineering
A Rust systems project under Axiom Systems Tech.
Stack: Rust Systems Engineering
| Project | Focus | Status |
|---|---|---|
| ๐ก๏ธ SentinelFlow | AI gateways ยท failover ยท routing | ๐ข Active |
| ๐ง Cerebro Zero | Neural networks ยท agents ยท AI from scratch | ๐ก Experimental |
| ๐ Semcode Search | Semantic code intelligence | ๐ก Building |
| ๐ฉ๏ธ Nuvora | Python project | ๐ Stealth |
Go ยท Rust ยท Python ยท C
AI Infrastructure
โ
โโโ LLM Gateways
โโโ Provider Failover
โโโ Smart Routing
โโโ Rate Limiting
โโโ Caching
โโโ Observability
โ
โโโ Agent Systems
โโโ Tool Use
โโโ Memory
โโโ Reasoning
โโโ Reliability
"Make it work, make it right, make it fast โ in that order."
I'm open to collaborations around:
AI infrastructure ยท LLM tooling ยท backend systems ยท resilience engineering ยท low-level experiments
If you're building something that needs to survive production โ or something that simply refuses to work at 3am โ I'm probably interested.

