backend & infrastructure engineer

projects

Goldeye

A quantative finance trading algorithm

PythonXAU/USDQuant
hover / focus to view snippet →
/opt/goldeye/signals/momentum.pydef score(prices: pd.Series) -> float: returns = prices.pct_change().dropna() z = (returns.mean() / returns.std()) * np.sqrt(252) return float(np.clip(z, -3, 3))
Probatum — Trading Compliance Ledger

Compliance and dispute-resolution layer for a prop trading firm, on a hybrid blockchain architecture.

PythonBlockchainL2 Anchoring
hover / focus to view snippet →
~/probatum/ledger/chain.pydef append(self, record: dict) -> str: record["prev_hash"] = self.tip_hash with open(self.chain_path, "a") as f: f.write(json.dumps(record) + "\n") self.tip_hash = sha256(json.dumps(record).encode()) return self.tip_hash.hexdigest()