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I'm a Python and C++ developer with 18 years of experience. I can efficiently handle a wide variety of tasks in data science, machine learning, software architecture and debugging, and more. I'm good at writing, and always prioritize clear communication in my work. I've recently worked on a project where I developed and optimized an OpenCV+YOLO object detection pipeline in C++ on multiple real-time video streams, which is currently in production at several customer sites. I'm particularly interested in speech and audio processing, and have worked on many projects in this domain. After graduating with a dual Bachelor's Degree in 2004, I was the lead developer of a product for distributed entity resolution and name matching at a Washington, DC area contractor for 6 years. Starting with an existing prototype and legacy C++ libraries, I combined Python and C++ to create a high-performance, distributed tool for use by data analysts. I documented the code and created automated tests, then trained several new developers who joined the team. I wrote our user documentation, and after our first release to customers, I worked with them closely to add new features and fix bugs. In writing and maintaining a high-performance distributed application I became proficient with the POSIX API including threading, the file system, and networking. Since leaving this contractor, I have been developing my own software product for foreign language learning. It takes user input from the microphone, and uses machine learning to present appropriate study material. The product is still in development. The prototype uses Python with NumPy, SciPy, Matplotlib, and Torch, and I have become proficient in using these tools to process and explore data and develop machine learning models. I also developed a speech corpus from public domain data, aligned the transcriptions with the audio using Kaldi, and extracted spectral features to be used in my speech processing pipeline. My dual Bachelor's is in Computer Science, and International Languages and Cultures - French. I studied computer science in Bordeaux, France for one semester and speak and write French fluently. My native language is American English. I also studied Chinese for 2 years in college, and taught English in China for one year after graduation. I speak Mandarin fluently and read and write Chinese. I have done professional translation work from both French and Chinese to English, including a translation of Xu Dan's book titled Introduction to Chinese Syntax, published by l'Asiathèque. I have done editing and translation work for Xu Dan and other linguists on many projects over the past 18 years. In both this and my software development work, I take pride in producing high-quality work.

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.

🎯 100% Refund If I Set the Wrong Expectations and Can’t Deliver. No Questions Asked. ⚙️ Need AI automations for lead generation, outbound sales, CRM workflows, appointment setting, customer support, email automation, and scalable business operations using n8n, Make, Claude, and Python? Consider it done! 🧠 I’ve built AI agents that not only perform tasks, but learn to improve themselves within your system turning AI automation into intelligent adaptation. ⚙️ Little bit more about me: I’m an AI Automation specialist & Data Analytics Engineer with over 10 years of experience in machine learning, Python,Django, FlaskAPI and workflow automation using tools like n8n, Zapier Claude and make. I specialize in building scalable, AI-driven solutions that solve real-world problems and turn data into actionable insights. From predictive analytics to real-time dashboards. I help organizations automate processes and rapidly build MVPs to scale. My goal is to empower businesses by providing intelligent, data-driven solutions that evolve with their needs. ✅ Proven track record with 150+ AI and automation projects, driving efficiency and growth ✅ Expert in AI, data analytics, and machine learning with 10+ years of experience in Python, Django ✅ Certified Zapier Expert, skilled in Make, n8n, and Airtable for seamless integrations ✅ Specializing in real-time data solutions and predictive models for faster decision-making ✅ Delivering high-impact solutions with clear communication and scalable results ✅ Focused on providing measurable ROI through custom automation and AI solutions If you are looking for a Top-rated professional, who is in the list of Top 3% of Upwork profiles and fast and efficient delivery, then I'm your man. What I Offer: N8N | Zapier | Make | Replit | Python | AI | Machine Learning | AI Automation | Predictive Modeling | TensorFlow | PyTorch | Time-Series Forecasting | Recommendation Engines | Deep Learning | Generative AI | LLM | Chatbots | RAG | MVP Prototyping | Streamlit | Dash | Tableau | Power BI | Data Visualization | KPI Tracking | Trend Analysis | Performance Monitoring | Data Engineering | ETL ELT Pipelines | Web Scraping | MongoDB | SQL | Redis | FastAPI | Cloud Services | AWS | Automation | Django | ROI Optimization | Product Validation | MVP 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: - 10+ years of professional Python development - Fast communication & on-time delivery - Flexible, reliable, and high-quality solutions - Budget-friendly and negotiable pricing - 100% client satisfaction is always my priority - Available for one-time tasks or long-term collaborations

I help businesses, healthcare teams, researchers, and startups turn complex AI ideas into reliable software products. I am a research-driven AI Solutions Engineer and Python backend developer with a Master’s in Neuroscience and 6 years of experience building AI-powered applications, machine learning workflows, and research-focused software systems. My work sits at the intersection of artificial intelligence, backend engineering, data processing, and scientific problem-solving. My strongest value is not just writing code. I help define the right technical approach, design the system architecture, build the backend, integrate AI models, and deliver software that is practical, maintainable, and ready for real users. My core expertise includes: - Python backend development - Generative AI application development - Machine learning and data workflows - Scikit-learn, TensorFlow, Keras, NumPy, Pandas, SciPy - Speech-to-text systems using Whisper AI - SQL and SQLite database design - GPU-accelerated AI inference - Research automation and scientific computing - Healthcare AI and clinical workflow tools - Desktop AI applications and internal business tools One of my key projects is VoxChart, a clinical speech-to-text dictation application built with Whisper AI, Python, PyAudio, SQLite, tkinter, and PyInstaller. It supports offline AI transcription, medical terminology correction, autosave, Epic EHR export support, crash reporting, and a Windows installer pipeline. This project reflects the kind of work I do best: turning advanced AI capability into a clean, usable tool that solves a real workflow problem. I also have hands-on experience in computational neuroscience, reinforcement learning, and scientific modeling, including a spinal cord arm control model using Python, TensorFlow/Keras, OpenSim, and DDPG. This gives me a stronger analytical foundation than a typical software developer and allows me to work confidently on complex, data-heavy, research-driven, or AI-first projects. I can help you with: - Building AI-powered SaaS tools, MVPs, and internal platforms - Developing Python backends for AI applications - Creating custom ML models and data pipelines - Integrating OpenAI, Whisper, or other AI systems into your workflow - Automating manual business or research processes - Designing databases, APIs, and AI-assisted backend logic - Building healthcare, clinical, or research technology solutions Clients should work with me when they need someone who can think deeply, communicate clearly, and build carefully. I care about clean architecture, accurate implementation, strong documentation, and software that remains useful after delivery. If you need an AI solution that is more than a prototype, I can help you design it, build it, and make it dependable.

🕷️ Web Scraping, Data Extraction & Automation Specialist. Need clean, structured data extracted from any website or API? I write custom Python scripts to scrape complex sites directly into Excel, CSV, or databases—saving you hours of manual work with 100% accuracy. Whether it is e-commerce catalog scraping, directory data collection, real estate listings, financial markets, or lead list building, I can automate the process and handle challenges like dynamic content, logins, and CAPTCHAs. With a background in IT Management (WGU) and 7 Google Professional Certifications (including Advanced Data Analytics, Business Intelligence, Project Management, and AI), I bridge the gap between technical data extraction and your strategic business goals. --- 🔧 What I Can Do For You: - Web Scraping & Data Extraction: Custom Python scripts (Scrapy, Selenium) to scrape websites, gather prospect lists, and compile research data. - Excel & Spreadsheet Modeling: Building clean data models, writing advanced formulas (VLOOKUP, INDEX/MATCH, Lambda), formatting, and automation in Excel and Google Sheets. - Business Intelligence (BI) Dashboards: Custom, interactive dashboards in Power BI and Tableau to track your KPIs in real-time. - Database Development & SQL: Write optimized queries, perform data cleaning, design relational database schemas, and build robust ETL pipelines. - Operations & Logistics Optimization: Redesign workflows and analyze data to improve efficiency and reduce costs. 🛠 My Technical Stack: - Data Scraping: Python (Scrapy, Selenium, Beautiful Soup) - Spreadsheets: Advanced Excel, Google Sheets - BI Tools: Power BI, Tableau - Databases/Querying: SQL (MySQL, PostgreSQL) - Languages: Python (Pandas, Numpy), R - Methodology: Agile/Scrum, Project Management --- 🎯 Why Clients Choose Me: - Google Certified Expert: Certified in Advanced Data Analytics, BI, and AI. - Business-Minded: I don't just write queries; I deliver insights that save money or grow revenue. - Clear Communication & Transparency: Regular updates, well-documented code, and prompt responses. Let's discuss how we can put your data to work. Send me a message today!

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.