Hire the Best Python Numpy Developers in Florida

I build trading systems that survive live execution — not just backtesting. 27 years of C# development. 20+ NinjaTrader 8 indicators and strategies. 10+ MetaTrader 5 Expert Advisors. Python ML pipelines with walk-forward validation and ONNX deployment. PhD in Management Information Systems. Every system I deliver comes with full source code, documentation, and a walkthrough so you understand what I built and why. I'm a developer who understands trading, not a trader who learned to code. That difference matters when your strategy needs to handle partial fills, slippage on a fast NQ breakout, or a prop firm's trailing drawdown rules. WHAT I BUILD NinjaTrader 8 (NinjaScript/C#): Custom indicators (regime filters, order flow, harmonic patterns, composite dashboards), automated strategies (breakout, momentum, mean-reversion, institutional zone detection, volatility compression), advanced trade management (multi-target exits, ATR-scaled trailing, break-even, time-based exits, re-entry logic), full parameter exposure for Strategy Analyzer optimization, and data export pipelines for ML model training. MetaTrader 5 (MQL5): Expert Advisors for live and prop firm environments. Box breakout (6 versions), volatility compression straddle, Heiken Ashi exhaustion, multi-strategy EAs. Session filtering, spread guards, prop firm compliance (drawdown limits, daily loss caps, consistency rules, magic number management), and risk-based position sizing. Python ML Pipelines: XGBoost, LSTM, Transformer, and MLP models for session-type prediction, directional forecasting, and signal filtering. Walk-forward validation, SHAP explainability on every prediction, Monte Carlo stress testing (10,000 equity paths), and ONNX export for sub-millisecond inference inside NinjaTrader. Pine Script (TradingView): Multi-timeframe systems with non-repainting architecture, state-based logic, session-aware execution, and liquidity sweep / SFP detection. Cross-Platform: Strategy porting (NT8 ↔ MT5 ↔ ATAS ↔ DAS Trader ↔ Python), cross-platform signal routing across 5 simultaneous platforms, and broker API integration (Interactive Brokers TWS API, Rithmic, MetaTrader broker API). FLAGSHIP BUILD: IMBOne Cortex The most complex system in my portfolio — a quantitative trading intelligence platform I architected and built end-to-end as sole developer. WPF/.NET 9, 7 server projects, 30+ table MySQL database, SignalR real-time streaming, Redis caching layer. Core systems: real-time data engine processing 100K+ market data messages/min via Polygon WebSocket. Dark pool level detection (FINRA data, 4-tier classification). Gamma exposure engine (DIY from raw options chain data — zero vendor dependency). Pre-market scanner screening 8,000+ equities. ML pipeline with XGBoost classifiers (session-type F1=0.736, IB-direction F1=0.727), nightly automated retraining, SHAP explainability rendered in-app, and ONNX Runtime inference. 40+ engineered features. If I can build this solo, I can build what you need. SELECTED RESULTS ▸ Institutional Zone Breakout (NQ) — Sharpe 2.30, 53.9% WR, 668 trades ▸ ICT Liquidity Sweep — Sharpe 4.81, PF 1.93 ▸ Box Breakout EA (v6.5) — directional bias model, 82% AUC ▸ EURCHF ML Pipeline — walk-forward validated, mean Sharpe 4.02, all folds positive ▸ 80% Rule Debunk — 5+ years NQ data, measured 18.3% vs. claimed 80% ▸ Level Touch Probability — distance gravity model, AUC 0.78–0.85 ▸ NQ Breakout Pipeline — MBO-10 microstructure, absorption signal identification HOW I WORK Understand your strategy logic and goals before writing code Build clean, documented, configurable code — every parameter exposed Validate rigorously — walk-forward, Monte Carlo, statistical significance testing Deliver full source code + performance report + walkthrough session All client strategy code treated as confidential. NDA available. Your edge is yours. PROP FIRM EXPERIENCE: Systems designed for Tradeify, TopStepX, and similar environments. Trailing drawdown, daily loss limits, consistency rules. Risk controls enforced independently from strategy logic — the risk layer has absolute veto authority. TECH STACK: C# (27 yrs) · NinjaScript · MQL5 · Python · Pine Script · XGBoost · LSTM · SHAP · ONNX Runtime · SignalR · MySQL · Redis · Databento MBO-10 · Polygon API · Rithmic · IB TWS API · pandas · NumPy · scikit-learn PhD · 27 years C# · 17 years university teaching (I explain what I build — you'll understand your own system) · Bilingual English/Spanish · South Florida (EST) Let's build something that works in live markets, not just in backtesting.

🧠 𝗜 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. I am not just a developer; I am a 𝙎𝙚𝙣𝙞𝙤𝙧 𝘼𝙄 𝘼𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩 𝙖𝙣𝙙 𝙛𝙤𝙧𝙢𝙚𝙧 𝙋𝙬𝘾 𝘿𝙞𝙧𝙚𝙘𝙩𝙤𝙧 with over 12 years of experience leading data science teams and delivering complex machine learning solutions for Fortune 500 clients, Federal agencies, and startups. If you are looking to build scalable AI systems, integrate LLMs into your business processes, or require high-level strategy to navigate the AI landscape, I bring the rigorous standards of Big 4 consulting combined with the agility of a technical founder. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: - Executive-Level Expertise: As a former Director of AI & Analytics at PwC, I understand how to align technical code with business KPIs. I don't just build models; I build solutions that drive revenue and efficiency. - Deep GenAI & LLM Mastery: Expertise in RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, and Agent-based workflows using OpenAI, Anthropic, and open-source models. - Full-Spectrum Data Science: My background spans the entire data lifecycle-from complex ETL and Data Engineering (SQL/NoSQL) to advanced Deep Learning, NLP, and Graph Theory. - Academic Rigor: With a background from Carnegie Mellon University (CMU) and experience as an Adjunct Professor, my work is grounded in solid mathematical and architectural principles. 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: 🚀 Generative AI & LLM Integration - Building custom RAG pipelines to let AI chat with your company data. - AI Agents and automation workflows (LangChain, AutoGPT). - Fine-tuning LLMs for specific industry verticals. 🤖 Advanced Machine Learning & NLP - Natural Language Processing (Entity Recognition, Sentiment Analysis, Topic Modeling). - Deep Learning (RNNs, LSTMs, CNNs) for complex prediction tasks. - Recommendation Systems (Collaborative Filtering, Graph-based similarity). 📊 Data Strategy & MLOps Designing scalable AI architecture. Auditing existing codebases for efficiency and scalability. Translating vague business requirements into technical roadmaps. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: AI/ML: Python, TensorFlow, PyTorch, Keras, Scikit-Learn, Spacy, LangChain, OpenAI API, Hugging Face. Data Engineering: Pandas, NumPy, SQL, Graph Databases (Neo4j), Vector Databases (Pinecone, Milvus). Visualization & BI: Tableau, PowerBI, D3.js, Jupyter. Backend & Deployment: Docker, AWS, Azure, Flask/FastAPI. 𝙒𝙝𝙮 𝘾𝙝𝙤𝙤𝙨𝙚 𝙈𝙚? Most freelancers can write a script. I engineer systems. My career has been built on solving the "impossible" problems for massive organizations like the Federal Reserve, HP, and major healthcare providers. Whether you are a startup needing a technically sound MVP or an enterprise needing a complete AI overhaul, I deliver code that is clean, documented, and production-ready. 𝗟𝗲𝘁’𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝗜 𝘁𝗼 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀.

𝙉𝙚𝙚𝙙 𝙖 𝙬𝙚𝙗 𝙤𝙧 𝙢𝙤𝙗𝙞𝙡𝙚 𝙥𝙧𝙤𝙙𝙪𝙘𝙩-𝙬𝙞𝙩𝙝 𝘼𝙄 𝙘𝙖𝙥𝙖𝙗𝙞𝙡𝙞𝙩𝙞𝙚𝙨-𝙩𝙝𝙖𝙩 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙨𝙝𝙞𝙥𝙨 𝙩𝙤 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣? I build modern web platforms, cross-platform mobile apps, and AI-powered systems end-to-end, from backend architecture and APIs to scalable cloud infrastructure, intuitive UIs, and intelligent product features. My focus is building real AI functionality inside production apps - semantic search, AI copilots, automation systems, document intelligence, and decision-support tools designed for reliability, observability, and long-term scalability. 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 I design and build scalable web platforms, SaaS products, dashboards, and enterprise systems using modern frontend frameworks and production-grade architectures. Stack & Technologies React, Next.js, Angular, TypeScript, JavaScript (ES6+), Redux, Zustand, React Query, WebSockets, REST APIs, GraphQL, Micro-frontend architecture, Server-side rendering (SSR), Static site generation (SSG), Progressive Web Apps (PWA), Tailwind CSS, Material UI, Chakra UI, Bootstrap, Responsive UI, Design systems, Performance optimization, SEO optimization, Lighthouse performance tuning, Web accessibility (WCAG) 𝗖𝗿𝗼𝘀𝘀-𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗠𝗼𝗯𝗶𝗹𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 I develop high-performance mobile apps for iOS and Android with shared logic and consistent UX. Technologies & Platforms React Native, Flutter, Expo, TypeScript, Dart, Native modules, Cross-platform architecture, Offline-first applications, Local storage, Push notifications, Deep linking, OAuth authentication, Mobile analytics, App performance monitoring, App Store deployment, Google Play deployment, OTA updates, CI/CD pipelines 𝗔𝗜 & 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 I integrate production-ready AI systems directly into applications, focusing on reliability, evaluation, and real-world usability. AI Capabilities Retrieval-Augmented Generation (RAG), Semantic search, Knowledge assistants, Document AI, AI copilots, Workflow automation, AI agents, Multi-step reasoning pipelines, Structured LLM outputs, Tool-calling agents, Prompt engineering, Context engineering, LLM evaluation frameworks, Guardrails, Hallucination mitigation, AI observability AI Frameworks & Platforms OpenAI, Claude, Gemini, Llama, DeepSeek, LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, Hugging Face Transformers, Sentence-Transformers, Embedding pipelines, Vector search architectures Vector Databases Pinecone, Weaviate, Chroma, FAISS, pgvector, Milvus, Redis Vector Search 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 I build scalable backend systems and microservices designed for high concurrency, complex business logic, and AI workloads. Backend Stack .NET, ASP.NET Core, Node.js, Python, FastAPI, Express.js, NestJS, Django, Flask, REST APIs, GraphQL APIs, gRPC, WebSockets, Event-driven architecture, Async processing, Background workers, Task queues, Distributed microservices Data & Databases PostgreSQL, MongoDB, MySQL, Redis, DynamoDB, Elasticsearch, BigQuery, Data pipelines, ETL workflows, Data modeling, Query optimization 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗗𝗲𝘃𝗢𝗽𝘀 I design cloud-native architectures that scale efficiently and remain cost-effective. Cloud & Infrastructure AWS, Azure, Google Cloud, Serverless architecture, AWS Lambda, Cloud Run, Containerized services, Kubernetes, Docker, Infrastructure as Code, Terraform, CI/CD pipelines, GitHub Actions, GitLab CI, Monitoring systems, Prometheus, Grafana, Logging pipelines, Performance monitoring 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 Beyond coding, I focus on building systems that remain maintainable and scalable as products grow. Engineering Practices Microservices architecture, Event-driven systems, Domain-driven design, Clean architecture, Distributed systems, API-first architecture, AI-ready data architecture, Observability, Reliability engineering, Performance optimization, Security best practices 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 1️⃣ Understand the product vision, users, and goals 2️⃣ Design a simple and scalable system architecture 3️⃣ Build an MVP quickly and iterate toward production 4️⃣ Deliver maintainable systems with documentation and monitoring If you're building a web platform, mobile app, or AI-powered product, I can help architect, build, and deliver a production-ready system that scales. Let's build something impactful. 🚀

I help deep-tech companies solve difficult engineering problems — from modeling and validation to prototype development, scale-up, and commercialization. With a PhD in engineering and 25 years of experience in R&D, engineering analysis, manufacturing, and technology development, I work with companies when technical decisions have significant consequences for cost, performance, timelines, and investment risk. For the past 10 years, I have also worked as a startup advisor, helping more than 175 deep-tech companies evaluate technology risk, develop R&D strategies, pursue non-dilutive funding, and transition innovations from research concepts toward commercial products. My approach combines first-principles engineering, mathematical modeling, experimental analysis, and practical manufacturing experience. I do not just analyze data — I help teams understand whether their technology will work, what risks remain, and what engineering decisions should be made next. ## Engineering Services ### Engineering Modeling & Simulation I develop engineering models to evaluate and improve complex systems, including: * Heat transfer and thermal management analysis * Fluid flow and pressure-drop modeling * Transport phenomena modeling * Electrochemical system modeling * Performance prediction and optimization * Python- and MATLAB-based engineering analysis * Literature-based correlation development and validation I have experience with engineering modeling tools including MATLAB, Python, MixSim, and multiphysics simulation approaches. ### Prototype Development & Technical Validation I help companies evaluate whether prototypes are technically ready for the next stage by assessing: * Performance claims and supporting data * Experimental design and validation methods * Failure modes and technical risks * Technology readiness level (TRL) * Scale-up challenges * Design improvements needed before commercialization ### Manufacturing & Scale-Up Engineering My engineering background includes semiconductor and pharmaceutical production environments, where I worked on process improvement, technology transfer, and manufacturing challenges. I help companies evaluate: * Lab-to-production transition risks * Process sensitivity and yield challenges * Materials and equipment selection * Manufacturability constraints * Cost and scalability assumptions * Production readiness ### Deep-Tech Technical Due Diligence For investors, founders, and leadership teams, I provide technical assessments of: * Engineering assumptions * Prototype maturity * Validation discipline * Development timelines * Scale-up risks * R&D strategy The goal is to identify technical vulnerabilities before they become expensive problems. ## SBIR, STTR & Federal Funding Strategy I also support deep-tech companies pursuing non-dilutive funding, including SBIR, STTR, DOE, NSF, NIH, and ARPA-E programs. Over the past decade, I have advised more than 175 deep-tech startups on federal funding strategy, commercialization planning, and R&D architecture. Services include: * Technical strategy development * Research plan structure * Milestone and risk-reduction planning * TRL alignment * Commercialization planning * Phase I to Phase II transition strategy * Technical narrative development My advantage is that I approach funding strategy from an engineering perspective. A strong proposal requires more than good writing — it requires a technically defensible development plan. ## Background PhD Engineer with 25 years of experience in: * Research and development engineering * Manufacturing engineering * Semiconductor and pharmaceutical production environments * Mathematical modeling and simulation * Transport phenomena and engineering analysis * Design of experiments * Technology transfer * Prototype development * Deep-tech commercialization Previous organizations include: * Draper Laboratory * Catalent I have served as a federal reviewer for NSF, DOE, NIH, and related programs, giving me insight into how technical proposals and commercialization plans are evaluated. ## Books & Publications Author of 9 books covering engineering, commercialization, and federal funding strategy.

Data Migration & Automation Specialist | Python, APIs, Web Scraping I help businesses streamline their data workflows, migrating, transforming, and automating data processes to eliminate manual work. Whether you need to move data between Excel, CSV, JSON, or integrate with APIs, I ensure clean, structured, and reliable data. What I Offer: ✔ Data Migration & Transformation – Converting Excel, CSV, and JSON formats for seamless integration. ✔ Python Scripting & Automation – Automating repetitive tasks, data extractions, and transformations. ✔ API Integration – Connecting and automating data flow between platforms. ✔ Web Scraping & Data Extraction – Gathering structured data using Python (BeautifulSoup, Scrapy, Selenium). ✔ Crypto Trading Bots – Automating trading strategies using Freqtrade and exchange APIs. Why Work With Me? 🔹 Efficiency & Accuracy – I build reliable automation scripts that minimize errors. 🔹 Custom Solutions – I tailor every project to meet your unique business needs. 🔹 Scalability & Performance – I design solutions that grow with your data needs. Tools & Technologies: 🔧 Python (Pandas, NumPy) | Freqtrade | Selenium, BeautifulSoup, Scrapy 🔧 JSON, CSV, Excel Processing | REST APIs | Automation & Scripting If you’re looking for a skilled Python developer to handle data migrations, automate workflows, or build API integrations, let’s connect! I’m available for both short-term projects and ongoing collaborations. 🚀 Let’s turn your data into an asset! I thrive on efficiency, automation, and large-scale data transformations. Let’s connect and discuss how I can help streamline your workflows! BS, in Computer Science University of Massachusetts - Lowell, Massachusetts Certified Professional in Accessibility Core Competencies (CPACC) IAAP - International Association of Accessibility Professionals Issued Mar 2022 · Expires Mar 2025

I’m a detail-oriented Data Analyst and Data Entry Specialist with a background in web development and a strong passion for transforming raw data into meaningful insights. I bring a solid foundation in accurate data entry, data management, and database handling, ensuring high levels of precision and consistency. With hands-on experience in tools like Power BI, Tableau, Excel, Power Query, PostgreSQL, and Python, I help businesses clean, organize, and analyze data, while also supporting routine data entry, extraction, and reporting tasks. My combined analytical and technical skills allow me to bridge the gap between raw data and actionable outcomes, whether it's through a dashboard or a well-organized spreadsheet. Services I Offer: • Accurate and efficient Data Entry (Excel, Google Sheets, Word) • Online/Offline Data Entry • PDF to Excel/Word conversion • Email Sourcing and Contact List Building • Data Cleaning & Formatting using Power Query and Excel • Data Collection & Extraction from websites or directories • Business Card & Invoice Data Entry • Lead Generation (basic level using LinkedIn & web research) • eCommerce Product Listing (Shopify, WordPress) • Interactive Dashboards in Power BI and Tableau • DAX Measures and data modeling optimization • SQL Querying (PostgreSQL databases) • Automated Reports and KPI summaries • Basic Python Scripting (Pandas, NumPy) for data manipulation Tools & Skills: • Power BI, Tableau • Excel, Google Sheets • PostgreSQL, SQL • DAX, Power Query • Python (Pandas, NumPy) • Data Cleaning & Visualization • Data Entry & Report Automation