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║ building the infrastructure layer for agents ║
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AI Infrastructure Engineer · Solo Founder @ Maximlabs
Agents. Security. Markets. All local. All production.
agents need boundaries. queries need answers. markets need clarity.
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Kernex Mercer Cynosure
Kernex — Zero-Trust Agent Hypervisor
"Don't trust the model. Trust the kernel."
OS-level execution sandbox for AI agents. A single statically-compiled Rust binary that intercepts syscalls in real time using Linux Landlock LSM + seccomp BPF — before the agent process even boots. No VMs. No daemons. No code changes required.
# Before
python my_agent.py
# After — fully sandboxed at the OS level
kernex run -- python my_agent.py- Audit mode — auto-generates a least-privilege
kernex.yamlpolicy by observing one run - < 2ms boot overhead vs ~500ms for Docker
- MCP co-sandboxing — each MCP server gets its own independent policy
- JIT interception — blocked actions prompt the user rather than crash the agent
Rust · Landlock LSM · seccomp BPF · macOS Endpoint Security · Unix Domain Socket IPC
Mercer — Text-to-SQL for Messy Schemas
Plain English to accurate SQL, even on schemas with cryptic abbreviations (cust_seg_cd, e_add, p_spec), missing foreign keys, and inconsistent naming. Six-stage agentic pipeline running entirely on a consumer GPU — no vector database required.
Question → [Entity Retrieval] → [Schema Linking] → [Query Decomposition]
→ [Candidate Generation x3] → [Execution + Scoring] → [Correction] → SQL
Benchmark (Qwen2.5-Coder-7B, RTX 4070 Laptop):
| Complexity | Execution Accuracy |
|---|---|
| Window functions | 100% (7/7) |
| Set operations | 100% (4/4) |
| Aggregation | 88% (7/8) |
| Basic SQL | 75% (6/8) |
| Overall (50 stratified) | 74% |
Python · llama.cpp · Qwen2.5-Coder-7B · Triton · FastAPI · React · Redis · SQLAlchemy
Cynosure — Fully Local AI Trading System
"Follow the star. Trade with clarity."
Autonomous perpetual swap trading system for OKX — crypto majors, gold/silver, US equity index perps. Zero cloud LLM dependency. A local Qwen3.5-4B synthesizer reads a pre-computed expert signal brief (~500 tokens) and outputs a single structured JSON decision; all risk logic runs in deterministic Python.
15-min cycle:
Expert Pipeline → MarketBrief (~500 tok) → LLM Synthesis (5-8s)
→ Signal Persistence Gates → Risk Engine (Kelly sizing) → OKX Execution
Signal sources per cycle: EMA/RSI/MACD/OFI across 3 timeframes · TimesFM 2.5 zero-shot forecast · L2 orderbook depth · Fear & Greed · funding rates · open interest · liquidation clusters
Python · Qwen3.5-4B · Ollama · TimesFM 2.5 · OKX MCP · SQLite · APScheduler
Valerie — Visual Speech Recognition
500M parameter lip-reading model. VALLR-based architecture that transcribes speech from video without audio.
Python · PyTorch · VALLR
systems programming · LLM inference · agentic infrastructure · kernel security
maximlabs.co · LinkedIn · Amman, Jordan
