TERMINAL // ACTIVE
In-depth engineering logs, smart contract security analyses, algorithmic system blueprints, and full-stack performance patterns.
A practical deep dive into smart contract defensive programming, the Checks-Effects-Interactions (CEI) pattern, and storage layout optimization.
How quantitative risk rules, dynamic position sizing, and volatility-adjusted stops prevent ruin in algorithmic execution engines.
Engineering lessons from building Absensi RSD: running TensorFlow Lite facial embeddings on background isolates without freezing UI threads.
Architecture deep dive into Hyper-Gemma AI Trader (Trinity v2): engineering a Pure Quant Tactical Engine (Z-Score, Hurst Exponent, VWAP, Kalman Filter) with passive Gemma 4 AI for zero-latency, hallucination-free cryptocurrency futures execution.
How we prototyped and backtested the Trinity Quant Engine on TradingView using Pine Script v5: implementing rolling Z-Score mean reversion, Hurst fractal regime filters, and dynamic ATR risk budgeting before deploying to TypeScript production.