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Quant Lab Title

Python PyTorch FastAPI Docker GitHub Actions

⚡ 📊 Turning raw financial market noise into deterministic execution alphas. 📊 ⚡

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🧠 The Mission Log

I am a self-driven, autonomous developer building at the boundary of Deep Reinforcement Learning (RL), Quantitative Finance, and Asynchronous AI Orchestration Loops. My primary sandbox involves constructing high-frequency self-evolving trading engines, complex intermarket feature pipelines, and bulletproof security gateways.

  • 🔬 Driven entirely by deep, continuous self-directed experimentation.
  • 🛡️ Obsessed with strict quality control, automated regression suites, and production container hardening.
  • 🧬 Believer that clean, modular math always wins against market chaos.

🛠️ The Tech Ecosystem

Operational Layer Tooling & Infrastructure
Deep Learning & RL PyTorchStable-Baselines3 (SAC / PPO)Gymnasium • Walk-Forward Bars
Data & Relational Graphs PandasNumPyNetworkX (Topological Path Reasoning)ChromaDBSupabase
Core Core Engines FastAPI (ASGI)AsyncIOFlask (Factory Pattern)Gunicorn
MLOps & Assurance GitHub ActionsRuffBlackPytest (Async/Mock Frameworks)
Deployment Security Multi-Stage Docker Builds • Secure Non-Root Privilege Boundaries (USER)

🏆 Featured Operations & Repositories

📈 Quantitative Systems & Reinforcement Learning Engines

A completely decoupled deep-RL algorithmic trading network. Features a PyTorch Temporal Attention Network (Oracle) using learnable [CLS] token configurations to forecast class directional probabilities, passing filtered streams down to a Stable-Baselines3 Soft Actor-Critic (SAC) framework for automated execution risk-management.

Continuous-space Deep Reinforcement Learning framework leveraging Proximal Policy Optimization (PPO) paired with a recurrent LSTM backbone tracking layout to balance live asset allocations across dual-stream spot markets (XAUUSD / DXY).

A deep neural pre-trade firewall engine classification system. Ingests sequential rolling multi-candle OHLCV tensor windows to isolate impending volatility expansions, backed by strict custom backpropagation parameter gradient assertion suites.

⚡ Asynchronous Knowledge Middleware & Gateways

An enterprise ASGI gateway featuring an autonomous asynchronous ReAct routing loop. Seamlessly fuses semantic vector search (ChromaDB) with topological graph network mapping (NetworkX) and a secondary LLM-as-a-Judge validation proxy layer.

High-throughput edge routing gateway microservice designed to ingest real-time Meta WhatsApp webhooks, executing instant 200 OK handshakes under strict latency constraints while safely offloading GraphRAG processing loops to background worker threads.


🧪 Rigorous Automated Benchmarks

Every script hitting this profile goes through an unyielding pipeline baseline:

⚡ RUN: ruff check .               # Zero code smell syntax policy
⚡ RUN: black --check .            # Deterministic style layout parity
⚡ RUN: pytest --asyncio           # Isolated mocking & regression coverage
⚡ BUILD: docker build --no-cache  # Multi-stage compilation & non-root lockdown

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