I am a Quantitative Trading, Data Engineer and Full Stack (Firebase) Dev with 19+ years of hands-on experience across financial markets, algorithmic trading, and full-stack application development. My work sits at the intersection of quantitative finance, data science, and modern web systems, helping clients turn raw market data into robust trading strategies, analytics platforms, and decision-ready dashboards.
🔹 What I Do Best
1. Quant / Algo Trading Systems
a) Strategy research, backtesting, and live-safe execution (non-repainting, bar-accurate)
b) Price-action & indicator-based systems (EMA, regression, volatility, structure, spreads)
c) Commodity futures, FX, indices, and inter-market relationships
d) Python, TradingView Pine Script, MT5/MQL5 parity implementations

2. Data Science & Quant Analytics
a) Feature engineering on OHLCV, OI, seasonality, regime detection
b) Walk-forward optimization, risk metrics, drawdown control
c) ML pipelines (Random Forests, CNN-LSTM-Transformer hybrids)
d) Research-grade performance analysis (Sharpe, SQN, expectancy, risk curves)

3. Full-Stack Financial Applications
a) End-to-end dashboards for trading & analytics
b) Next.js (App Router), React, TypeScript, Tailwind
c) Interactive charting (Plotly, TradingView Lightweight Charts, custom Canvas/SVG layers)
d) Clean, scalable UI with real-time data flows

4. Firebase & Cloud-Native Backends
a) Firebase Auth, Firestore, Functions, hosting
b) API integrations, data pipelines, secure role-based access
c) Python + FastAPI / Node backends for analytics & execution layers

🔹 What Makes Me Different
a) I am not just a coder—I am a trader + quant + system builder
b) Deep understanding of market microstructure, execution realities, and risk
c) Proven ability to translate trading logic across platforms (Python ↔ Pine ↔ MT5)
d) Strong focus on deterministic logic, performance, and production-readiness
e) Experience mentoring traders, managing risk desks, and building from zero to scale

🔹 Typical Projects I Take
a) Build or refactor algorithmic trading strategies
b) Convert TradingView strategies to Python / MT5 (live-safe)
c) Create backtesting & walk-forward frameworks
d) Develop AI-powered trading dashboards
e) Market data analytics & visualization platforms
f) Custom indicators, scanners, and signal engines

🔹 Tech Stack Snapshot
a) Python | TypeScript | SQL | Pine Script | MQL5
b) Next.js | React | FastAPI | Firebase
c) Plotly | Matplotlib | TradingView Charts | Pandas | NumPy | ML/AI