✅ Top Rated **Python Expert | MCP Expert | RAG Expert | Full Stack Developer | AI Automation Expert** ✅ Completed 100+ projects as a **Python Expert, MCP Expert, RAG Expert, Full Stack Developer, and AI Automation Expert** with excellent client feedback ⏱️ 7000+ hours delivered with consistent 5⭐ ratings 💬 Fluent English communication 📅 Available to start immediately — Click **"INVITE"** ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ My Services as a Python Expert | MCP Expert | RAG Expert | Full Stack Developer | AI Automation Expert: ► Python Expert for backend development, scalable software solutions, APIs, automation, ETL pipelines, and enterprise applications ► Python Expert for workflow automation, browser automation, CRM automation, AI automation, and business process optimization ► MCP Expert for Model Context Protocol (MCP) server development, AI tool integrations, and enterprise AI connectivity ► MCP Expert for connecting AI agents with APIs, databases, enterprise systems, cloud services, and business applications ► RAG Expert building Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, and vector databases ► RAG Expert for AI-powered search systems, semantic search, vector search, knowledge retrieval, enterprise AI assistants, and AI chatbots ► RAG Expert for AI chatbots trained on PDFs, websites, databases, Notion, SharePoint, Confluence, and internal documentation ► RAG Expert for knowledge base development using Pinecone, ChromaDB, FAISS, Weaviate, Qdrant, and Milvus ► AI Automation Expert for AI agents using OpenAI, Claude, Gemini, DeepSeek, Llama, CrewAI, AutoGen, LangGraph, and custom AI workflows ► Full Stack Developer building modern web applications using Next.js, React, TypeScript, Tailwind CSS, Shadcn/UI, Node.js, NestJS, Express, REST APIs, PostgreSQL.

🏆 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 - 𝗧𝗼𝗽 𝟭% 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ✅ 𝟕+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ⏰ 𝟏𝟐𝟎𝟎𝟎 + 𝐔𝐩𝐰𝐨𝐫𝐤 𝐇𝐨𝐮𝐫𝐬 | 𝟏𝟎𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 ⭐️ $𝟕𝟎𝟎𝐤+ 𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐨𝐧 𝐔𝐩𝐰𝐫𝐨𝐤 I’m Abdul, an Upwork Certified AI/LLM engineer with 7+ years of experience helping startups and growing teams build smart AI solutions. From autonomous agents, MVPs, AI-native products to intelligent analytics and cloud-ready deployments, I will help scale your operations, workflows, and revenue. —------------------------------------------------------------------- ⭐️𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐛𝐲 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬⭐️ “Abdul helped us rethink our lead gen with AI-powered decision-making. His work with LLMs and pipelines was key.” — HS, Director of Data & ML, EZ Pack “Game-changer. Abdul brought serious AI expertise that moved the needle fast.” — Thomas E., CEO, Mission BI —------------------------------------------------------------------- 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ➡️ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬 Autonomous LLM agents, domain-tuned business assistants, task automation, human-like conversational interfaces (OpenAI, Claude, open-source models) ➡️ 𝐑𝐀𝐆 (𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧) Hybrid semantic search + generation, document & knowledge-base Q&A, contextual accuracy tuning, vector-store architecture ➡️ 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 Domain-specific fine-tuning (QLoRA), benchmark evaluation (perplexity, BLEU, custom QA metrics), reliability & guardrail testing ➡️ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Python-based workflow automation, process orchestration, manual-work reduction, API & systems integration, n8n, make. ➡️ 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Multi-agent data analysis, auto-generated dashboards & reports, structured + unstructured data pipelines, decision recommendations ➡️ 𝐂𝐥𝐨𝐮𝐝-𝐑𝐞𝐚𝐝𝐲 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Production-scale deployment on AWS (Bedrock, SageMaker), GCP (Vertex AI), Azure, and Databricks —------------------------------------------------------------------- 💰 𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 -Helped clients raise $3M+ through AI-powered growth. -Built 50+ AI systems, from multi-agent tools to insight engines. -Drove a 17% revenue increase in 7 months for a US startup. -Impacted 300,000+ users through data-led product strategies. -Graduated in the Top 5% in my Master’s degree class (specialization in AI) —------------------------------------------------------------------- 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 LLMs & Agents: GPT-4, Claude, LLaMA, Mistral, LangChain, LlamaIndex, MemGPT RAG Stack: FAISS, ChromaDB, Pinecone, Weaviate LLM Ops: Fine-tuning, Prompt Engineering, Evaluation Metrics, Guardrails Dev & Infra: Python, FastAPI, LangGraph, Streamlit, Chainlit, Flask Data Pipelines: PySpark, SQL, Event-Driven Workflows, Cloud Functions Cloud Platforms: AWS, GCP, Azure, Bedrock, SageMaker, Vertex AI, Databricks —------------------------------------------------------------------- I am available to understand your project needs and deliver the best solution efficiently. Click on the “Message” button and let’s have a chat —------------------------------------------------------------------- Keywords associated with my skill set: AI Agent Developer, AI Consultant, Chatbot Developer, AI Automation Expert, AI Integration Specialist, Machine Learning Engineer, LLM Developer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models (LLMs), GPT-4, Claude, LLaMA, Mistral, LangChain, LlamaIndex, LangGraph, Retrieval-Augmented Generation (RAG), Semantic Search, Knowledge Retrieval, Vector Databases, FAISS, ChromaDB, Pinecone, Weaviate, Custom Embeddings, Memory Layers, Prompt Engineering, LLM Fine-Tuning, LLM Evaluation, MLOps, Model Deployment, AI Data Analysis, NLP, Python, FastAPI, Chainlit, Data Pipelines, PySpark, SQL, AWS, GCP, Azure, Bedrock, Vertex AI, SageMaker, Databricks, Cloud Functions, API Integration, Open Source Models, Healthcare AI Engineer, Healthtech, Edutech, Fintech.

Need an engineer who can turn an idea into a scalable system without costly rewrites? I’m Dmytro, a Python Developer 6+ years of experience in Python web scraping 15+ production-ready digital projects. I build SaaS, mobile, API, automation and AI products from idea to launch. My focus is faster delivery, less manual work, and scalability. 💻 What I build as a Python Full stack developer | Python Backend Developer 15+ SaaS platform, MVP, CRM system, dashboard and backend solutions. 6+ years designing scalable digital systems. 30-60% less manual work through integration and robotic process automation. 2 platforms covered with React Native and Expo: iOS and Android. 3 product layers managed: frontend, backend, architecture. 4 stages covered: planning, development, launch, scaling. I work as a python full stack developer with React, Next.js, FastAPI, Django, Flask, PostgreSQL, MySQL and Docker. For Flask product, I provide python full stack developer flask expertise. For Django systems, I work as a python django developer using python django architecture. I can also join as a web developer, full stack developer, backend developer, or fullstack python engineer. 🕷️ Scraping, data. AI automation I create Python web scraping systems for research, pricing, lead generation, and monitoring. Each Python web scraping solution can include extraction, validation, storage, and delivery. ✔️ 10K+ records/day - Web scraping automation for scheduled collection ✔️ 24/7 workflow execution- Python Automation Bots Scripts ✔️ 5+ AI components integrated - LLM RAG AI Agent LangChain ✔️ 100K+ pages processed- Scrapping scraping bot Python Selenium ✔️ 1M+ structured records- Scrapy Scraping Scrapping Data Extraction ✔️ 95%+ clean output accuracy - Web scraping data cleaning and normalization ✔️ 10K+ records enriched per batch - AI web scraping for classification and enrichment ✔️ 50K+ listings monitored - Web scraping real estate for listings and market analysis ✔️ 10K+ profiles processed daily - Linkedin scraping for compliant workflows ✔️ 20+ data sources connected - Data scraping and data extraction through APIs, selenium, browser tools, or a scraping node component As an automation engineer and bot developer, I build workflows that synchronize platforms, replace repetitive data entry, and remove unreliable macro recorder steps. A second web scraping automation layer can trigger alerts. My Python web scraping pipelines adapt when sources change. 🤖 AI, LLM, Data product As an AI LL developer, I build document search, assistants, knowledge bases, and copilots. I can work as a Full stack developer LLM specialist, connecting interfaces, backend logic, vector search, and model providers through LLM RAG and llm integration. For data-heavy systems, I apply Data science methods and coordinate with a Data scientist LLM or Data analyst when needed. I assess whether machine learning python techniques are justified or simpler logic is safer. I also support Python developer geospatial workflows involving maps, location data, and spatial APIs. ⚙️ Core stack and approach ✔️Python FastAPI, Django, Flask, JavaScript, React, Next.js, React Native ✔️REST API, sql, PostgreSQL, MySQL, Docker, linux, Git, and cloud deployment ✔️Payment gateway integration, authentication, third-party APIs and AI automation ✔️Architecture, coding, testing, documentation and production support I can begin as an it consultant, clarify the scope, then continue as the Python Developer responsible for implementation. Depending on the system, I may work as a python full stack developer, provide python full stack developer flask delivery, or take ownership as a Python Developer during restructuring and scaling. For legacy environments involving wordpress, sharepoint, oxwall, or PHP, I can review integrations and coordinate with a php developer. I collaborate with a qa analyst on testing, align technical structure with a seo specialist, and build systems that support lead generation. I can also provide input for technical resume writing without presenting it as a core service. 📈 What you receive You get a Python Developer who thinks about the whole business system. I can lead as a python full stack developer, add Python web scraping capabilities, and stay responsible from architecture through launch. As the product grows, I can continue as the Python Developer, expand it with another Python web scraping workflow, or support the team as a python full stack developer. You gain one partner for product logic, architecture, automation, and maintenance. As a Python Developer, I help prevent weak technical decisions before they become expensive. When new data requirements appear, I can add Python web scraping without disrupting the core platform. 📩 Send me an idea, stack, requirements, or challenge. Let’s discuss the right architecture and turn the project into a reliable product.

👋 Need a python Full stack developer and Python AI Developer who can ship production-ready AI products, not just prototypes? I'm Roman, a Python Full stack Developer and Python AI developer with 5+ years in scalable web development and 2+ years in AI/ML. I have built AI systems for skincare, corporate LMS, real estate and SaaS, including a multilingual assistant for a company with 100+ branches and an AI SaaS chatbot platform built over 11 months. What I can help with: ✓ AI chatbot development with RAG, memory and business logic ✓ OpenAI / Claude / LLaMA integrations for SaaS, CRM, support, and internal tools ✓ AI agents trained on company documentation, knowledge bases, and enterprise data ✓ python fastapi API development for scalable AI backends ✓ React / Next.js dashboards connected to Python AI systems ✓ Database architecture, API integration, cloud deployment, and performance optimization ✓ Custom machine learning workflows, benchmarking, Data Scraping, data pipelines and analytics ⚡My work combines python full stack engineering, python fastapi backends, LLM architecture and business-focused Software Development that reduces manual work and improves user experience. As a python full stack developer, I build full-cycle products from database design and API architecture to React / Next.js interfaces, deployment and long-term optimization. My core stack includes python full stack, Python Fastapi, Flask, Django, Node.js, React, JavaScript, TypeScript, PostgreSQL, SQL, MongoDB, Supabase, AWS, Azure, Vercel, REST APIs, WebSockets, Docker, Tailwind CSS, Material UI, and Git. As a Python AI Developer, I create AI chatbots, RAG systems, AI agents, document intelligence tools, recommendation engines, and automation workflows. I work with OpenAI, Claude, LLaMA, LangChain, LangGraph, LlamaIndex, vector databases, prompt engineering, ReAct agents, and llm integration for real business use cases. 🤖 AI/ML Solutions I Build 📌 LLM-Powered Applications → Custom AI chatbots with RAG (Retrieval-Augmented Generation) → Multi-agent systems using LangChain & LangGraph → Context-aware conversational AI that maintains conversation flow → Integration with GPT-4, Claude, LLaMA models 📌 Intelligent Automation & Agents → ReAct systems (Reasoning + Acting) for complex workflows → Document parsing and knowledge extraction (LlamaIndex) → AI agents trained on internal documentation and enterprise data → Multi-language support with automatic language detection 📌 Smart Recommendations & Analysis → AI-powered recommendation engines → Image analysis and classification systems → Custom ML models for specific business use cases → Performance optimization for production environments 📌 Full-Stack Integration → RESTful API development and integration → Real-time data handling with WebSockets → Database design (PostgreSQL, MongoDB, Supabase) → Cloud deployment (AWS, Azure, Vercel) 💡 Recent AI Projects & Real Results Recent work includes an AI skincare recommendation system that analyzes customer inputs and recommends products, a corporate LMS AI assistant for 100+ branches, a real estate rental assistant using landmarks and neighborhoods instead of only addresses, and a full-stack SaaS AI chatbot platform with multi-agent logic and RAG capabilities. 🛠️ Technical Stack My experience covers product engineering and AI development. On the engineering side, I build SaaS platforms, dashboards, APIs, admin panels and automation systems as a python full stack developer ( backend python developer ) backend developer and web developer. On the AI side, I work as a Python AI developer and AI Developer, supporting chatbots, RAG systems, llm integration, OpenAI workflows, benchmarking, machine learning and data science tasks for real business use cases. ⚡My approach is simple: clarify the business problem, design cost-conscious architecture, build clean and maintainable code, show progress through regular demos, and transfer knowledge so your team can use and maintain the system confidently. Additional relevant experience: I have worked around startup products and teams involving laravel, PHP, wordpress, sharepoint, moodle lti, flutter, Vue.js, material ui, HTML5, html front end, payment gateway, back end development, full stack developer react, full stack java, marketing saas, mls, mls idx, real estate photo, ai video, crypto bot, trading python, dask, pandas, data entry, oxwall, qa analyst, ux designer, product manager, it consultant, seo specialist, journalist content workflows, technical resume writing, python full stack, python fastapi, python ai, llm integration, openai, and custom business automation. 🤝If you need a reliable python full stack developer who can own the full product workflow, or a python ai developer who can build practical AI systems with python fastapi, python ai, llm integration, openai, and scalable architecture, send me a message and let’s discuss your project.

I build high-performance data extraction systems, web scraping infrastructure, and automation pipelines that transform raw data into structured, reliable datasets ready for reporting, analytics, and business decisions. My focus is on delivering production-grade data systems - not just scripts, but scalable solutions that run on a daily basis, handle edge cases, and integrate seamlessly into your workflows. I work with startups, agencies, and data-driven businesses that need reliable data collection, automation, and structured outputs at scale. 🔹 Data Extraction & Web Scraping I develop robust web scraping systems capable of handling complex, large-scale data extraction tasks: • Web scraping from dynamic websites (JavaScript, pagination, auth) • Data extraction from directories, marketplaces, SaaS platforms • Scraping at scale with anti-bot handling & optimization • Structured data parsing and normalization • Long-running scraping infrastructure My solutions are built to be stable, maintainable, and scalable, even with frequently changing websites. 🔹 API Integration & Data Automation I build API-driven automation workflows that connect multiple systems into one clean data flow: • REST API integration (JSON / XML) • API automation and data synchronization • Multi-source data aggregation • Scheduled data collection pipelines • Error handling, retries, logging 🔹 Data Pipelines & ETL Systems I design complete ETL pipelines (Extract → Transform → Load): • Data cleaning and transformation • Merging multiple data sources • Structuring datasets for analytics • Automated pipelines (daily / hourly execution) • Scalable data processing workflows 🔹 Automation Systems & Bots I build custom automation systems and bots that eliminate manual work: • Data collection and monitoring bots 🤖 • Web automation & browser bots • API-driven automation workflows • Reporting automation pipelines • Task scheduling and orchestration 🔹 Data Delivery & Outputs Your data - clean, structured, and ready to use: • Google Sheets automation 📊 • CSV / Excel exports • Databases (PostgreSQL, MySQL, SQLite) • Custom API endpoints • Reporting-ready datasets 🔹 AI & LLM Integration I integrate language models into automation workflows - not chatbots, but production pipelines that use LLMs for real work: • OpenAI API integration into data pipelines • RAG systems for document retrieval and Q&A over your own data • LLM-based classification, extraction, and enrichment • Intelligent processing layered on top of scraping/ETL 🔹 Working with US & EU clients - flexible data hosting I work with clients worldwide. For European clients who need it, we can host data within the EU 🇪🇺(Germany) and handle it in line with GDPR. 🛠 Core Technologies Python Scrapy, Selenium, Playwright, BeautifulSoup Pandas, NumPy REST APIs, JSON, XML PostgreSQL, MySQL, SQLite Automation & scheduling systems Git / GitHub 💡 How I Work I don’t just write code - I help design reliable data systems. Clients involve me in: • Architecture decisions • Data pipeline design • Automation strategy • Long-term scalability planning ✅ What You Get ✔️ Clean, structured dataset ready for reporting ✔️ Stable, automated pipeline (daily execution) ✔️ Scalable and maintainable system ✔️ Clear documentation & version-controlled code ✔️ Optional monitoring, logging & alerts ✅ Results in numbers: - 132 finished projects - 100% JSS - Top Rated Plus - Working on Upwork 6+ years - 50% of long-term clients - 20+ years in IT industry 🔑 Keywords (Upwork SEO) Web Scraping, Data Extraction, Python Developer, Data Mining, Automation, API Integration, API Automation, ETL, Data Pipeline, Data Engineering, Scrapy, Selenium, Playwright, BeautifulSoup, Data Processing, Data Cleaning, Google Sheets API, CSV Automation, Database Integration, Web Automation, Bots, Data Collection 💬 If you need reliable data pipelines or web scraping systems - let’s talk.

I build production-ready AI systems RAG pipelines, AI agents, and LLM-powered apps , that turn messy data and manual processes into reliable, automated workflows. 21 projects delivered on Upwork with a 100% Job Success score. Most AI projects look great in a demo and break in production. I focus on the opposite: systems that stay accurate, fast, and affordable once real users and real data hit them. Here's what I help clients build: • RAG systems : chatbots and Q&A tools that answer from your own documents, knowledge bases, and data, with proper retrieval and minimal hallucination • AI agents & automation : multi-step agents that research, summarize, and take actions using LangChain and LangGraph • LLM integration : connecting OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) into your product or internal tools • Optimization : fine-tuning, prompt engineering, and caching to push accuracy up and API costs down My typical stack : Python, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases (Pinecone, Chroma, FAISS), Hugging Face, Docker, and AWS/GCP/Azure. I communicate clearly, scope honestly, and tell you when an AI solution is overkill versus when it's the right call. That's a big part of why my clients keep coming back. A few recent results: • Built a RAG chatbot over 500+ documents that cut support response time more than half. • Reduced LLM API costs by 40% through prompt optimisation and caching. • Shipped an AI agent that automated 10 tasks, saving the team 20 hours per week. If you have an AI idea anything from a quick prototype to a full production system send me a message describing what you're trying to build. I'll reply with an honest take on how I'd approach it, what it would realistically take, and whether it's worth doing.

I build production AI systems, not thin API wrappers. Whether it's a focused MVP or a full-scale platform, I deliver complete pipelines from data ingestion through retrieval and LLM orchestration to deployed, documented APIs. 15+ years in data-intensive software. The last 3+ years focused entirely on LLM-powered products across regulated and high-stakes domains: legal compliance, HR, energy markets, healthcare, financial data, and CX analytics. Before AI engineering, I spent 8 years as a scientific software engineer at CNRS (French National Research Centre), building research-grade crystallographic software and managing HPC infrastructure. That background in scientific computing and peer-reviewed research is what separates my work from typical AI integrations: I build systems with rigour, not just speed. What I deliver: • RAG pipelines over large document corpora with semantic search, hybrid retrieval, and citation tracking (Pinecone, pgvector, sqlite-vec) • LLM orchestration — multi-step autonomous workflows, streaming chat, prompt management, structured output with validation • Production FastAPI backends with auth, caching, background processing, and OpenAPI docs • Data ingestion and extraction pipelines (PDF, Excel, XML, OCR) with AI + traditional fallback strategies • Full deployment: Docker, Nginx, Gunicorn, DigitalOcean, Azure Current production systems include: — Multi-country HR compliance audit platform with branded report exports — Portuguese labour law compliance engine with OCR and vector-indexed legal corpus — AI sales outreach platform orchestrating Perplexity research + Claude composition — CX analytics platform with streaming LLM chat, survey RAG, and embeddable sessions — Real-time lightning risk monitoring system processing EUMETSAT satellite data — Automated payroll extraction from mixed-format archives with banking field validation I own the full backend scope with minimal oversight. Direct communication, clear progress, blockers flagged early.

Most AI projects fail because the infrastructure around them wasn't built to last. I'm an AI developer and Python developer who fixes that. I build RAG pipelines, AI Agent systems, and the backend architecture they need to actually run in production. When a project demands it, I bring in a trusted Python developer I've worked with long-term. Having a second Python developer and a second AI developer on call means you get the output of a full team without the overhead of managing one. 1. AI Systems That Go Beyond the Prototype As an AI developer, I design and implement custom RAG (Retrieval-Augmented Generation) pipelines that ground your LLMs in proprietary data: eliminating hallucinations and making responses genuinely useful. I build autonomous AI Agent frameworks that execute multi-step workflows without human input. Whether that means PyTorch for a custom machine learning model, TensorFlow for a deployment-optimized pipeline, or combining PyTorch and TensorFlow across different stages of the same system or computer vision for document parsing and image classification — I choose the right tool, not the trendiest one. My data scientist background means I treat model evaluation as seriously as model building. Nothing ships until the benchmarks prove it works. Every web development project I deliver goes through the same data scientist discipline: measure, validate, ship. 2. The Backend That Holds It Together A great AI developer still needs solid engineering underneath. As a Python developer, I build the infrastructure that makes AI systems reliable at scale: FastAPI and Django REST APIs, Flask microservices for lightweight integrations, Flask-based task queues for async jobs, PostgreSQL and MySQL schemas built for real data volumes, SQL queries optimized for performance, Docker-containerized services deployed through CI/CD pipelines with Git-managed version control. Data Scraping and web scraping are core to how I keep models current. I build Scrapy pipelines that continuously pull structured data from the web and load it into PostgreSQL or MySQL. That means your AI developer's models are always working with fresh information. I also use Scrapy for competitive research and e-commerce intelligence. Airtable provides non-technical stakeholders visibility into those Data Scraping pipelines, and Airtable webhooks trigger FastAPI or Django endpoints when records change. 3. Full Stack, Front to Back I'm a full stack developer and web developer, which means I own the entire delivery. React dashboards, Node.js middleware, JavaScript-heavy interfaces. I build the frontend that makes AI outputs accessible to real users. As a software engineer with web development experience across the full stack, I keep React components, Node.js services, and JavaScript logic clean and maintainable alongside the Python backend. I also have PHP developer experience. Many clients have existing PHP developer codebases, legacy CMS platforms, older systems that need to connect to modern Python APIs rather than be replaced. I know how to work with what's already there. 4. What Working With Me Looks Like You get a Python developer and AI developer in one person, backed by a trusted Python developer when the scope demands it. You get production-ready code - documented, tested, Git-managed, containerized with Docker, deployed through CI/CD. You get a data scientist mindset applied to every decision, a software engineer's standards applied to every line, a full stack developer's awareness of the full delivery chain, and a web developer's understanding that the end user is always the point. If you need an AI developer and Python developer who can take a project from first conversation to live deployment, I'd like to hear about it.

Need a Claude/LLM integration, a quant trading system, or a financial data pipeline that survives contact with real data? I build Python backends that ship on time, ship with tests, and run in production — not scripts that break next week. Recent work: → Real-time market pattern detection for a US trading client — 125+ stock symbols, ClickHouse tick ingestion, live RSI and VWAP signal alerts via Pushover, pair trading backtests at Sharpe 2.38 and 66.7% win rate. Milestone delivered on time, signals confirmed in live production. → SEC EDGAR 10-K parser for Business Development Companies — multi-source Schedule of Investments extraction, 103 companies, $1,324,753K total reconciled to the audited Total Investments line, 58/58 tests passing, profile-driven architecture, Docker. What I build: → Claude/LLM integrations — Tool Use, prompt caching (51.8% hit rate in production), structured output, SSE streaming, FastAPI endpoints. Production-grade scope enforcement and cost control. → Quant & trading systems — Signal generation, multi-timeframe funnels (ADX, EMA, Bollinger, volume, ATR-based sizing), backtesting, exchange API integration (Binance, MT5), ClickHouse and SQLite tick storage, Telegram and Discord alerting. → Financial data engineering — SEC EDGAR filings, multi-source ETL across financial APIs (EODHD, Financial Modeling Prep), Pandas + PostgreSQL pipelines, idempotent ingestion with deduplication and audit logging. → ML & classification pipelines — fastText, scikit-learn, custom feature engineering, confidence calibration, FastAPI inference services with automated retrain workflows. → Backend services & bots — FastAPI with async REST, n8n workflow integration (cron + REST dispatch + status polling), Telegram and Discord bots, scheduled tasks, persistent state, error recovery. How I work: every project Dockerized, deployed on DigitalOcean (or your cloud), version-controlled, tested, documented. I respond within hours, ask scoping questions before quoting, and ship on time. If something breaks after delivery, I fix it. Bilingual EN/中文 native, Taiwan-based. Available 30+ hours per week. Comfortable with US morning hours.

I help startups, SaaS companies, and enterprise teams automate workflows, improve knowledge retrieval, and deploy production AI systems that deliver measurable business outcomes. I build production-grade AI agents, multi-agent systems, and RAG platforms that remain reliable in production long after deployment. Verified Upwork track record: 147 jobs delivered, 7,000+ hours, 100% Job Success, Top Rated, 5.0 across 133 reviews. — What I specialize in — Plenty of AI developers can wire up a chatbot. I focus on building AI systems that solve real business problems and hold up in production. • AI agents & multi-agent systems — orchestration, tool calling, LangGraph • Advanced RAG — hybrid search, GraphRAG, reranking, hallucination control, RAGAS evaluation • LLM applications & copilots, including MCP (Model Context Protocol) integrations • Fine-tuning (LoRA / QLoRA / PEFT) and inference optimization • A full ML / CV / NLP foundation underneath, so I solve the problem the way it actually needs solving — not just the way that fits one tool — Recent work — • HirePilot AI — an AI-native talent marketplace (SaaS) running the full hiring pipeline: candidate matching, resume parsing, technical assessments, interview management, and recruiter verification across dedicated candidate, employer, recruiter, and admin portals. The platform processes thousands of candidate profiles and reduces manual screening from hours to minutes. • Enterprise multi-agent GraphRAG platform unifying documents, databases, Jira, and Confluence with hybrid retrieval, graph reasoning, and answer verification. RAGAS-based evaluation improved answer quality by more than 25% while significantly reducing hallucinations across thousands of enterprise documents. • SmartSupportAI — an intelligent customer-support system (n8n, Gemini, Pinecone, Google Drive) that automatically detects new and updated manuals, FAQs, and knowledge-base content, keeping answers aligned with the latest documentation. Reduced document search time by approximately 75% and eliminated a large portion of repetitive support queries. • MCP-based financial research assistant with custom MCP servers integrating market data, news, and technical indicators, enabling multi-agent research workflows and faster investment analysis. • Multi-agent healthcare assistant automating patient workflows including department routing, appointment booking and modification, prescription explanations, patient-history retrieval, and seamless human escalation. • Medical image segmentation for cancer detection using deep learning, achieving strong validation performance, alongside an OCR and computer-vision pipeline for extracting measurements from architectural and construction drawings. Domains delivered in: recruitment, healthcare, finance, e-commerce, IoT, and manufacturing. — Why clients hire me, and rehire me — When you hire me, you work directly with the engineer building the solution. • 147 completed projects backed by a 100% Job Success Score • Production deployments that continue delivering value after handoff • Direct technical ownership from architecture through deployment • Fast iteration with working prototypes delivered early • Honest scoping — I'll tell you when AI isn't the right answer before you spend money on it — Tech — Python, LangGraph / LangChain, n8n, OpenAI / Claude / Gemini, MCP, Pinecone / Weaviate / FAISS, Neo4j, FastAPI, Docker, AWS / Azure / GCP. — Let's talk — If you need an AI agent, MCP integration, production RAG platform, or custom LLM application, send me a message describing the problem you're trying to solve. I'll tell you how I'd approach it, what I'd recommend, and whether I'm the right fit for the project.