AI-powered document extraction, OCR and scraping is my core specialization. You are not paying me to experiment; you are paying for quick, reliable execution from an engineer who knows this solution space inside and out.
While I have a broad background in AI (Master's from King's College London, 5+ years LLM development), my niche is turning messy, unstructured data into clean, validated databases.
Why Work With Me?
Many developers try to force outdated techniques onto strict data extraction problems, leading to hallucinations, broken schemas, and costly architectural redos. I stay up to date on all modern data extraction literature. I know the pros and cons of every method, from modern vision models for implicit table relationships to custom OCR fallbacks.
Because I know the pitfalls of document extraction and web scraping before we even write the first line of code, I can tailor the exact right architecture for your solution from day one. No guessing. No structural redos. Just fast, production-ready execution.
Experience:
I have built production-grade extraction pipelines and automated scraping architectures across multiple complex domains:
Financial & Invoicing: Engineered invoice extraction pipelines achieving 99%+ accuracy across highly varied layouts, mapping dates, amounts, VAT, and line items.
Procurement & Tenders: Processed 200+ page Brazilian tender documents, identifying and extracting only specific supplier items and complex split tables from hundreds of pages of mixed content.
Sports & Large-Scale Data: Currently building a centralized database of global triathlon results, requiring massive-scale web scraping and data extraction across thousands of poorly formatted, highly variable PDFs.
Legal & Regulatory: Built an AI extraction pipeline using daily cron jobs to scrape government websites, monitor policy updates, version new documents, extract structured changes using AI, and alert affected users.
Beyond Extraction: Putting Your Data to Work:
Getting the data is only half the battle. I also build the systems that make your newly structured data actionable:
CRM Integrations & Data Enrichment: Automatically routing validated extraction data (like invoice details or scraped leads) directly into Salesforce, HubSpot, or custom databases to enrich your existing records.
Seamus W. earns an estimated $10k/mo. That's 7.1× the typical freelancer and more than 99.89% of everyone we track.
AI Chatbots & Knowledge Bases: Building conversational agents that allow your team or your customers to "chat" directly with your extracted document archives, retrieving precise answers with source citations.
Semantic Search Engines: Transforming thousands of static PDFs into fully searchable internal databases using NLP and vector embeddings.
Automated Workflows: Setting up trigger-based logic, such as automatically generating summary reports or flagging anomalies when new documents are scraped.
My Methodology:
Gold Standard Datasets: I create a benchmark dataset from day one to prove accuracy across your file types before deployment. This is crucial!
Robust Validation: I build systems with strict confidence scoring, consistency checks, and source citations to catch extraction errors before they hit your database.
Scalable Architecture: Clean, modular, queue-based systems that handle edge cases seamlessly.
Core Competencies & Tech Stack:
Document Processing: AI PDF Parsing, Modern OCR (Tesseract, AWS Textract, Google Doc AI), Vision Models, Layout Analysis.
AI & LLMs: Structured JSON Extraction, RAG, Chatbot Development, Prompt Engineering, Hallucination Mitigation.
Web Scraping: Python, FastAPI, Secure Portal Automation, Anti-Bot Bypassing, Proxy Management, Change Detection.
Data & Infrastructure: MySQL, Parquet, Docker, AWS, Laravel (APIs/Queues), API Integrations, CRM Pipelines.
If you have a complex scraping, document extraction, or AI integration problem, send me a message with a sample document or target website. Let's build a system that works on the first try.