// Full Stack AI integration solutions agentic ai: Autonomous engineered agents and platforms designed for specific roles and tasks ai chat: custom design ai chat interfaces cloud apps: complete frontend and backend end solutions websites: django, react, real-time interfaces, custom AI chat-bots built on existing knowledge bases data: database management, data storage, cleaning // Additional expertise: Stock markets, algorithmic, machine learning, and AI trading. Brokerages IBKR Alpaca Schwab TastyTrade Quant & Machine Learning QuantConnect/LEAN XGBoost TensorFlow scikit-learn Backtrader Zipline Infrastructure Google GCP AWS Oracle, Aiven Northflank Railyway Heroku Cloud Postgres MySQL Graph Languages Python SQL Pinescript thinkscript JavaScript, React

📌 About Me I am a PhD-level engineer specializing in mathematical modeling, and scientific algorithm development, with a strong skills for algorithmic trading and quantitative research. I help traders, fintech startups, and prop firms turn trading ideas into robust, validated, and fully automated strategies that perform reliably in real-market conditions. My work sits at the intersection of scientific rigor, quantitative finance, and professional software engineering. Clients come to me when they want trading systems that are mathematically sound, stress-tested, and coded with precision. ⸻ 📌 Why Clients Hire Me I combine the depth of academic research with the practical methodologies used by top quant professionals. My work draws inspiration from: Legendary quants: Jim Simons, Ed Thorp, Marcos López de Prado, Perry Kaufman Top algorithmic trading experts: Ernest Chan, Kevin Davey, Andrea Unger, Howard Bandy I do not build “black-box” systems — I build transparent, reproducible, and professionally validated strategies. ⸻ 📌 What I Can Build for You I develop strategies ranging from simple rule-based models to advanced machine-learning systems, including: ✔ Fully automated trading bots ✔ Indicator-based rule systems ✔ Statistical & time-series models ✔ Machine learning (ML) and pattern recognition ✔ Multi-asset and portfolio strategies ✔ High-integrity backtesting pipelines ✔ Walk-Forward Analysis & Monte Carlo Stress Tests Everything is developed with a strong emphasis on robustness, reproducibility, and avoiding curve-fitting. ⸻ 📌 Technical & Quantitative Skills Algorithm Development • Strategy design (trend, mean-reversion, breakout, volatility models) • Multi-timeframe & multi-asset logic • Entry/exit signal engineering • Portfolio allocation and position sizing Backtesting & Validation • Walk-Forward Analysis (WFA) • Monte Carlo simulations • Overfitting detection • Robustness testing • Data integrity & reproducibility control • Probabilistic validation of model outputs Quantitative Analysis • Time series modeling • Noise reduction and signal filtering • Risk/return evaluation (Sharpe, Sortino, DD…) • Statistical diagnostics and cross-validation ⸻ 📌 Programming & Technical Stack Python, Trading, Machine Learning & API Stack • NumPy, Pandas, SciPy, statsmodels, arch • TA-Lib, pandas-ta, btalib • Backtrader, Zipline, VectorBT, PyAlgoTrade, PyFolio • PyPortfolioOpt, QuantStats • scikit-learn, XGBoost, LightGBM, CatBoost, Optuna • TensorFlow, Keras, PyTorch, Prophet • ccxt, Alpaca API, IBKR API, Oanda, MetaTrader Python Bridge • yfinance, AlphaVantage, Polygon.io, Quandl • requests, aiohttp, BeautifulSoup, Selenium • SQLAlchemy, sqlite3, PostgreSQL (psycopg2) • Parquet, HDF5, Feather for large datasets • numba, Cython, multiprocessing, joblib • Matplotlib, Plotly, Bokeh, mplfinance • Git, GitHub, GitLab, CI/CD, Docker • pytest, flake8, black, pydantic, logging Trading Languages & Platforms • EasyLanguage (MultiCharts) • MT4/MT5 (EA development) • Java for high-performance algo logic • API integration: ccxt, yfinance • Web scraping (Requests, BeautifulSoup) • Git/GitHub version control & CI automation ⸻ 📌 Collaboration & Delivery I work with: • Independent traders • Prop firms • Fintech startups • Quant teams needing R&D support I can translate any trading idea — even vague or experimental ones — into a clean, documented, testable model. ⸻ 📌 What You Receive ✔ A fully working, tested trading strategy ✔ Complete and clean source code ✔ A detailed professional performance report ✔ Drawdown, Sharpe, win rate, robustness metrics ✔ Walk-Forward + Monte Carlo stress testing ✔ Support for improvements and refinements ⸻ 📌 My Work Philosophy I don’t deliver “pretty backtests” — I deliver strategies designed to survive real markets. If you want a rigorously tested, professionally validated, and production-ready trading system, I’d be happy to help.

I'm a senior Aussie developer living in Europe. - 9000+ hours on upwork - 100% success rating top rated plus My skill set is as follows. 💎 Backend skills: ✔✔✔ PHP 7.x ✔✔✔NodeJS ✔✔✔Laravel Framework (5.x) ✔✔✔ NestJS ✔✔✔ Prisma ORM ✔✔✔ Graphql subscription, graphql-codegen, type-graphql ✔✔ CQRS ✔✔ AdonisJS ✔✔✔ Composer ✔✔✔Advanced architectural design patterns 🖼 Frontend: ✔✔✔React ✔✔✔VueJS ✔✔✔ Vuex ✔✔✔ Material UI ✔✔✔ Vuetify ✔✔✔ Quasar ✔✔✔ Redux, Saga, Observables, Thunk ✔✔ AngularJS (1.x, 4+) ✔✔✔ RXJS ✔✔✔ WebpackJS, GruntJS/Gulp ✔✔✔ GraphQL , GraphQL subscriptions, cache, link state 📁 Databases: ✔✔✔ Mysql ✔✔✔Postgres ✔✔ Cassandra ✔✔ MongoDB 🗄Caching: ✔✔✔ Redis with clusters ✔✔memcache 📊 Streaming: ✔✔✔ Websockets ✔✔✔ socket.io + Pusher + PubNub ✔✔✔ Redis Pub/Sub ⌛ Dev-ops: ✔✔✔ Kubernetes ✔✔✔ K8s Secrets / Namespaces ✔✔✔ Helm charts ✔✔✔ Linux/Apache/Nginx/Varnish Cache ✔✔✔ Jenkins / Bamboo CI / Buddy ✔✔✔ Docker and VirtualBox ✔✔✔ AWS / s3 / Route 53 / ECS / EC2 / ECR / EKS / GCP / Azure / Amplify ✔✔✔ AWS Serverless ✔✔✔ Testing: Cypress, PHPUnit, Jest, Mocha, Chai ✔✔✔ E2E/BDD/TDD Unit Testing / Protractor / Selenium ✔✔✔ Kubernetes Secrets management AI: ✔✔✔ Knowledge of OpenAI endpoints ✔✔✔ Api integration with eleven labs voice platform ✔✔✔ Langchain / AutoGPT / SQLAgent I have over 16+ years worth of commercial software development experience and my primary languages are PHP and typescript. I have developed solutions which suit people who want to develop cloud based SaaS to market. 🧱 API Development: ✔✔✔Twilio ✔✔✔ Docusign API ✔✔✔ Tesseract ✔✔✔PyTesseract ✔✔✔Backtrader ✔✔✔ OpenCV ✔✔✔ Pyfolio ✔✔✔ OpenGL ✔✔ Tensorflow ✔✔✔Stripe ✔BrainTree ✔✔✔Pusher 🧿 Version Control: ✔✔✔ GIT ✔✔✔ Git Hooks ✔✔✔ Git auto-deploy

🎯 I build trading systems that actually trade well, not just scripts that compile. I'm an active ICT/SMC trader (Gold & Crypto) who codes. I build Pine Script strategies, MQL5 EAs, and Python trading bots, with 19 completed projects and a 100% Job Success score. This rare combo means I understand WHY your strategy needs to work, not just HOW to code it. ✅ 100% Job Success ✅ 5.0 rating (15 reviews) ✅ 19 projects, 271 hours ✅ Active Gold (XAU) + Crypto trader ✅ Fast turnaround ✅ English fluent 🔧 Trading & Algo Development: ✅ Pine Script (v5/v6): custom indicators, alerts, multi-timeframe ✅ TradingView strategies: full backtest with detailed reporting ✅ ICT/SMC concepts: FVG, Order Blocks, BOS, CHoCH, liquidity ✅ MT5 / MQL5 EAs: entry logic, ATR-based SL/TP, spread filters, trailing stops, build 5830 compatibility ✅ FXDreema visual EA builder: strategy conversion & export fixes ✅ TradeLocker / Backtrader strategy scripts ✅ Trading bots: Python + MT5 / Binance / Zerodha Kite APIs ✅ IBKR / NinjaTrader automation: TradingView webhooks, live order routing ✅ Risk management automation & position sizing tools 📊 Recent work (no names, real results): ▪ Pine Script S2 Zone Pyramid: 73.7% win-rate with HTF confluence filter (v3, 2-month live XAU/USD data) ▪ MT5 EA: live strategy with ATR trailing, daily loss cap, session filter, spread filter ▪ Signal Bot: TradingView webhook to AWS EC2 to Telegram alerts (live, FastAPI) ▪ Python backtest: XAUUSD 24-month run, PF 1.4+, drawdown under 18% 🧠 Why me: ▪ Active trader (Gold XAU + Crypto): I trade what I build ▪ 19 completed Upwork projects, 271 hours, 100% Job Success ▪ Surat-based, English fluent, fast turnaround 💬 Free 15-min discovery call before any project. Tell me your trading idea, and I'll tell you exactly what's possible and what it'll cost.

I develop, debug, and convert TradingView Pine Script and MT5/MQL5 tools with clean documentation, testing steps, and human-review checkpoints. I also build AI-assisted workflow automation using n8n, Claude, APIs, and Python, with a focus on logging, maintainability, and risk-aware design. My past work includes indicator debugging, strategy conversion, backtesting support, automation workflows, and EdTech tools backed by 30 years of teaching experience. AI Workflow Automation Your AI employee who never sleeps. I design business workflows using Claude MCP, Cowork, and n8n that automate repetitive tasks. Submit work at night, wake up to results. Quarterly maintenance subscriptions keep your setup current as AI tools evolve. Recent: AI workflow consultation for a beauty salon. Trading Tool Development From 1,850 live trades to your custom algorithm. Pine Script indicators for TradingView (QQE v3.0 with strong community support), MT5/MT4 Expert Advisors with verified backtest results, NinjaScript strategies, and TradeStation EasyLanguage. Cross-platform deployments where the same logic runs consistently on every platform. Educational Technology Claude Code + MCP + 30yr STEM Expert = Your unfair advantage. AI-powered question generators, exam preparation apps (530+ question database for university entrance exams), and STEM curriculum development. I combine deep subject matter expertise with AI to produce educational content that works. I work through text-based asynchronous communication. This produces clearer specifications, better documentation, and a complete record of every decision. Portfolio links: See my GitHub, MQL5, and YouTube profiles in the Portfolio section below.

Hi! I'm an Industrial Engineer and Data Specialist with a proven track record of building production-grade solutions for the financial markets. I spent significant time working as a Software & Data Engineer for the Argentinian Stock Market. There, I designed and deployed high-performance algorithms, data pipelines, and automation tools that process market data in real-time. If you are looking to automate a trading strategy, backtest an idea with statistical rigor, or build a scalable data pipeline, I can bridge the gap between financial logic and high-performance engineering. What I can help you with: 🔹 Algorithmic Trading: Strategy automation, backtesting, and API integrations (Binance, Interactive Brokers, MetaTrader, etc.). 🔹 Data & Analytics Engineering: Reliable ETL/ELT pipelines, data modeling, and real-time data streaming. 🔹 Advanced Automation: Web scraping, cloud infrastructure setup, and process optimization. My Tech Stack: 🗡️ Python (Pandas, NumPy, Backtrader, CCXT, Asyncio) 🗡️ Data Engineering: DBT, Airflow, Spark 🗡️ Cloud: AWS / GCP 🗡️ Databases: SQL (PostgreSQL, BigQuery, Snowflake) 🗡️ Optimization: Machine Learning, Mathematics, Statistics & Algorithms 🗡️ Visualization: PowerBI / Looker Studio My problem-solving skills are top-notch, and I always strive to provide creative, secure, and highly efficient solutions. Let's talk !

I am a highly creative data scientist / quantitative finance analyst / algorithmic trading developer with a solid background in engineering, mathematics, statistics, machine learning, data and signal processing, physics and technology development. I have expertise in backtesting and strategy development with BackTrader, QuantConnect and Trade Ideas. I program fully automated and robust stocks, ETF, Forex, options, cryptocurrencies and futures trading strategies. I can help you develop or code your custom trading bot, algorithm/robot in Python with execution through the Interactive Brokers IB TWS API. I can deploy an algorithm developed and backtested on QuantConnect to the following brokerages: Interactive Brokers, TD Ameritrade, Tradier, Trading Technologies, Bloomberg, Oanda, Zerodha, Binance, Coinbase, Kraken and Bitfinex. I can develop and backtest option trading strategies on OptionAlpha and OptionOmega. If you need to analyze or gather market data, I have experience with several data provider's API and can customize and automate your analysis with Python scripts, Google Sheet and Excel. I can also create custom scripts and indicators in TradingView as well as sending and trading alerts through Webhooks. I have good communication skills plus acute attention to detail, and strong self-motivation. I look forward to working with you!

I am an expert Quantitative Developer / Analyst with 7+ years of working experience in Hedge Funds. I have a solid background in Software development (15+ years) and extensive experience with data-related projects (10+ years) My experience includes the following: * working with all kinds of asset types: Equities, Options, Futures, Options on Futures, and Crypto. * developing different systematic trading strategies, including intraday, futures, options strategies, arbitrage, etc. * using ML in quantitative projects, like sentiment analysis. * working with dozens of different data APIs, from Yahoo Finance to Bloomberg * building custom dashboards/web apps with Plotly Dash / R Shiny. * building highly scalable cloud infrastructures in AWS. * deriving trading signals from vast amounts of open data. I'm one of the top-rated Pine Script Developers with 20k+ followers on TraidngView: QuantNomad The technological stack includes but is not limited to the following: Programming Languages: Python, R, Pine Script, EasyLanguage, C++ Backtesting engines: Vectorbt, Backtrader, selfmade option/future engines. Databases: PostgreSQL, MongoDB, Redshift, DynamoDB, Cloud Solutions: Amazon AWS, Microsoft Azure. Tools: Git, JIRA, Confluence. OS: Windows, Linux.

Quantitative Trader & Researcher specializing in systematic trading strategies, alpha generation, and market microstructure. I build robust trading systems with strong risk management, realistic execution logic, and institutional-grade backtesting frameworks. 📈 Developed and optimized strategies with: • +25% improvement in Sharpe ratios • Up to 30% drawdown reduction • 60% faster research & backtesting workflows • Lower slippage through execution optimization Expertise across: • Statistical Arbitrage • Mean Reversion • Momentum & Trend Following • Options & Volatility Strategies • Portfolio Optimization • Machine Learning for Trading Signals Python | Pandas | NumPy | PyTorch | Scikit-learn | Backtrader | C# | VBA I focus on building strategies that survive real market conditions, not just good-looking backtests.

🚀 AI-Powered Python Developer – Specialized in Trading Bots I build and deploy automated trading bots using: - Python, Backtrader, CCXT, Pandas - Machine Learning (TensorFlow, PyTorch) - Reinforcement Learning (DQN, PPO) 📈 I focus on signal generation, backtesting, and market automation for crypto and Forex. Let’s build intelligent and efficient trading solutions together.