SYSTEM BOOT — v0.1.0  ·  LEOLOGIC OS  ·  ALL SYSTEMS NOMINAL

── IDENTITY

SYSTEMS &
PROCESS
ENGINEER

Chemical engineering foundations fused with computational precision. Pure-Python systems, quantitative trading engines, and data pipelines that convert complex process logic into reliable, automated execution.

DATA-DRIVEN LOGICPYTHON AUTOMATIONSIX SIGMA BB
LAUNCH COMMAND CENTER →READ TECHNICAL LOGS

── ACADEMIC

ACTIVE

Chemical Engineering

University of Toronto

3rd Year · Candidate

Process Systems · Thermodynamics · Transport Phenomena

── SYSTEM MANIFEST

KERNELNext.js 16 · App Router
TYPESTypeScript 5
STYLESTailwind CSS 4
APIFastAPI · RESTful
AUTHCookie-based · Middleware guard
STATUSOPERATIONAL

── CERTIFICATIONS

Six Sigma Black Belt

CSSBB

CERTIFIED

Process Optimization · Statistical Control · DMAIC

DMAICSPCDOEMSAFMEA

── TECHNICAL ARSENAL

CORE LANGPure Python — system architecture, automation pipelines
WEB LAYERNext.js 16 · App Router · TypeScript
API LAYERFastAPI · RESTful microservices · async/await
TRADINGIBKR API — algorithmic order management
PARADIGMData-driven logic · Signal processing · Automation

── REGISTERED SUBSYSTEMS

[01]QUANT ENGINE
ACTIVE

Systematic trading infrastructure. Algorithmic execution, signal processing, and portfolio analytics.

OPEN SUBSYSTEM →
[02]BIO-METRICS
ACTIVE

Metabolic half-life modeling. Training load optimization and physiological decay functions.

OPEN SUBSYSTEM →
[03]METHODOLOGY
PUBLIC

Engineering principles, decision frameworks, and operational protocols.

OPEN SUBSYSTEM →
[04]TECHNICAL LOGS
PUBLIC

System logs, build journals, and post-mortems. Documented engineering process.

OPEN SUBSYSTEM →

── ENGINEERING PHILOSOPHY

$catsystem_manifesto.md[READ-ONLY]
M-01Process-Driven Architecture

Applying Chemical Engineering principles and Six Sigma Black Belt methodologies to build robust, deterministic systems.

M-02Absolute Logic Control

Bypassing visual automation tools (e.g., n8n) in favor of pure Python architectures. Advanced quantitative and biological engines demand the granular control that only code can provide.

M-03AI-Accelerated Workflows

Utilizing AI-assisted environments (Cursor, LLMs) to drastically reduce boilerplate execution, while retaining strict authoritative oversight over the underlying architecture.

// END MANIFESTO  ·  3 AXIOMS LOADED

── BIO-METRICS · LIVE SIMULATOR

ONLINE

DECAY SIMULATOR — INTERACTIVE

── LEOLOGIC QUANTITATIVE CORE

ARCH ONLY
LIVE — ARCHITECTURE MODE
[ IBKR API ]
CONNECTED
[ Catalyst Engine ]
STANDBY
[ Risk Manager ]
ACTIVE
[ Signal Processor ]
IDLE
[ Last Execution ]2ms ago

> sys.boot → LeoLogic Quantitative Core v2.1

> ibkr.connect() → OK [latency: 3ms]

> catalyst.load_strategy('momentum_v3') → OK

> risk.set_limits(max_dd=0.02) → OK

> awaiting market signal...

── COMPETENCY MAP

#PROCESS_ENGINEERING#STATISTICAL_ANALYSIS#PYTHON_AUTOMATION#SYSTEMS_ARCHITECTURE#QUANT_STRATEGY#DMAIC_/_SIX_SIGMA#API_INTEGRATION#NEXT.JS_/_FASTAPI

leologic@sys~