Hire the Best Python Numpy Developers
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I specialize in building custom AI Agents and automating complex workflows. With a unique dual background in accounting and AI software development, I bridge the gap between business operations and cutting-edge technical solutions. Core Expertise: AI Agent Development: Proficient in Model Context Protocol (MCP). Developed a popular GitHub MCP Server that enables AI clients (like Cursor) to automatically process Word and Excel documents using natural language. Process Automation: Built C/S architecture AI tools integrating local LLMs (e.g., Deepseek) and OCR technology to batch-process and analyze financial vouchers, boosting operational efficiency by 30%. Data Analytics: Strong command of Python, VBA, and data visualization tools. Experienced in processing large-scale datasets (50,000+ weekly records) to drive product optimization and business insights. Financial System Implementation: Hands-on experience optimizing enterprise ERP and complex approval workflows (e.g., Kingdee EAS) for corporate clients, reducing approval times by 20%. I live in China and I am always looking for new challenges. Experience in VBA and Excel. Experience in Python, Data Structures and Algorithms. Experience in NumPy, Pandas and Matplotlib. Experience in Vibe Coding, MCP and Agent. Experience in ERP and RPA.

I design, build, and ship web scrapers, data pipelines, AI/LLM integrations, and full SaaS products — the kind of work other developers often pass on. I stay engaged until the solution is running in your production systems, not just working in a demo. Delivery isn't a handoff. I define the real problem first, build the complete solution, and stay accountable until it's running in your production environment and documented well enough for your team to maintain. ⚙️ What I build for clients - End-to-end products & SaaS — full builds, architected and shipped: backend, REST API, database design, authentication, dashboards, deployment. Complete systems you can run and grow, not one-off scripts. - Web scraping & data extraction at scale — listings, real estate/timeshare data, leads, pricing. Including sites with anti-bot protection, heavy JavaScript, or login gates. - Data pipelines & enrichment — clean, deduplicated, verified data delivered where you need it: database, spreadsheet, or API. - AI & LLM integration — OpenAI/GPT-powered extraction, document parsing (PDF to structured data), classification, and AI agents wired into real workflows. - Third-party API integration — connecting platforms, syncing data, and automating the manual steps between them. 🔧 Stack Languages & core — Python, SQL, JavaScript/TypeScript, Bash Scraping & automation — Playwright, Scrapy, Selenium, BeautifulSoup, lxml, httpx/requests, proxy rotation, session and cookie handling, CAPTCHA and anti-bot bypass, browser fingerprint management, rate limiting and retry logic Backend & APIs — FastAPI, Flask, Django, Django REST Framework, Celery, Pydantic, REST and GraphQL, webhooks, OAuth and JWT authentication Data engineering — Pandas, NumPy, Polars, ETL and ELT pipeline design, data validation and deduplication, schema design, Airflow, scheduled and event-driven jobs AI & LLM — OpenAI API, Anthropic Claude API, structured output and function calling, prompt engineering, RAG and vector search (pgvector, Pinecone), LangChain, document parsing (PyMuPDF, pdfplumber), OCR (Tesseract) Databases — PostgreSQL, MySQL, MongoDB, Redis, SQLite, Supabase Infrastructure & DevOps — Docker and Docker Compose, AWS (EC2, S3, Lambda, RDS), Nginx, Linux server administration, GitHub Actions CI/CD, logging and monitoring, cron and task scheduling Integrations — Stripe, Google Sheets and Drive APIs, Airtable, Zapier and Make, plus custom third-party API integrations

Hi, I'm Bill, an experienced developer with a strong focus on backend developing, data engineering and automation. I am experienced in developing Restful API services, data scraping & cleaning & processing, FIX protocol, multi-source data integration, tool & script developing, etc. I mainly use Java & Python & C++ & SQL & shell, and am familiar with many technologies including MongoDB, MySQL, Redis, ClickHouse, ELK(Elasticsearch&Logstash&Kibana), Kafka, Zookeeper, Docker, K8s, MQ(ActiveMQ, RocketMQ, etc), Pandas, OpenPyXL, Numpy, FastAPI, Flask, etc.

Data & AI Solutions Engineer | Lead Generation & Web Data I build data pipelines and AI-powered tools that turn messy public web data into clean, decision-ready assets — and when it makes sense, into RAG-powered agents that answer questions from that data. What I solve: • Lead Generation at Scale — prospect databases with verified contacts (names, emails, phones, LinkedIn), enriched and deduplicated, ready for your sales team. • Market & Competitive Intelligence — pricing monitoring, product catalogs, review mining, market research. • Document Intelligence — parsing complex PDFs (tables, formulas, mixed-language) into structured Excel/CSV, and into chunked, embeddable formats for RAG. • AI Agents & RAG Pipelines — knowledge-base Q&A agents (WhatsApp, web, internal tools) on vector databases; document ingestion → chunking → embeddings → retrieval → LLM answer, with moderation and audit layers. • Anti-Bot & Hard Targets — Cloudflare, AWS-WAF, aggressive rate limiting: I know when to engineer around it and when to tell you it's not worth it. How I work: • Feasibility-first: I tell you what's realistic before you commit — including when the answer is "don't do this." • Accuracy over volume: every record is verified or clearly flagged. No fabricated data, ever. • Documented & reusable: scripts, schemas, pipelines you can run again without me. • AI done right: generated content is moderated and human-reviewed — I don't ship hallucination-prone outputs. Selected outcomes: • Built a 50,000+ record physician directory from publicly available health registries, deduplicated and URL-verified — delivered as a structured database for client's internal use. • Processed 60,000+ facility records (clinics, hospitals, labs) from an open government registry, with ~85% phone and ~75% email completeness — cleaned, normalized, and export-ready. • Extracted 15,000+ product reviews from a Cloudflare-protected e-commerce site in 3 days with dual-pass validation. • Delivered a 5,000+ record Google Maps enrichment pipeline (phone/website/email matching, 23-28% verified-match rate). • Processed formula-heavy, bilingual PDFs into structured Excel — eliminating days of manual re-entry. Skills: lead generation, prospect list, B2B data, list building, contact enrichment, data scraping, web scraping, Python, Playwright, Selenium, API integration, RAG, vector databases, PDF parsing, data cleaning, data mining, market research Languages: Fluent English & Chinese. Message me with your use case. I'll reply within 24 hours with a feasibility assessment and a realistic plan — including what I can't do, so you never waste budget on false promises.

I am a versatile Full Stack Developer with 7+ years of experience in Python, PHP, JavaScript, Vue.js, Unity, and C#. I have a strong background in building scalable web applications, automation tools, and game-related systems. My expertise includes: - Backend development with Python (FastAPI, Django, Flask) and PHP (Laravel, ThinkPHP) - Frontend development with JavaScript and Vue.js (ElementUI, Vuex) - Game development and scripting with Unity and C# - RESTful API design and integration - Data processing and automation (Pandas, NumPy, SQLAlchemy) - Full project lifecycle: from requirements analysis to deployment and maintenance I have successfully delivered projects for clients worldwide, including web management systems, automation scripts, and game SDK integrations. I am committed to high-quality work, clear communication, and on-time delivery. Let’s work together to bring your ideas to life!

I am a PhD in Data Science with expertise in Python, machine learning, statistical modeling, and quantitative analysis. I help clients transform complex data into actionable insights through data analytics, predictive modeling, automation, and decision-support systems. My experience includes building data pipelines, developing analytical tools, conducting large-scale data analysis, and creating reproducible research workflows. Core expertise: • Python (Pandas, NumPy, SciPy, Scikit-learn) • Data Analysis & Visualization • Machine Learning & Predictive Modeling • Statistical Analysis & Optimization • Data Processing & Automation • Quantitative Research I focus on delivering reliable, well-documented, and scalable solutions that help clients solve real-world problems efficiently and accurately.