You will get AI Data Pipeline: LLM Classification & Standardization
Top Rated
Project details
Thousands of records. Nuanced categories. Work that's too subtle for rules, too large for humans. That's where LLMs earn their place — not as a chatbot, but as a classification engine embedded in a proper data pipeline with validation, quality control, and a framework you can adjust and re-run.
I build AI-augmented pipelines that classify, categorize, and standardize your data at scale. Each one ships with configurable rules, output validation, and the framework to re-run it as your data — or your categories — change.
Real work, real numbers: 50K+ companies classified by vertical via LLM with a configurable framework. 1,000+ medical clinic sources standardized for terminology. Entity extraction and validation pipelines in production. KNIME Data Scientist (Machine Learning) certified.
You provide the dataset and your criteria. You receive a working pipeline, the processed data, and a framework you own — not a black box.
I build AI-augmented pipelines that classify, categorize, and standardize your data at scale. Each one ships with configurable rules, output validation, and the framework to re-run it as your data — or your categories — change.
Real work, real numbers: 50K+ companies classified by vertical via LLM with a configurable framework. 1,000+ medical clinic sources standardized for terminology. Entity extraction and validation pipelines in production. KNIME Data Scientist (Machine Learning) certified.
You provide the dataset and your criteria. You receive a working pipeline, the processed data, and a framework you own — not a black box.
Machine Learning Tools
KNIME, NumPy, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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Ryan R.
Jun 28, 2026
Public Sector Procurement Data Pipeline
Carlos was fantastic to work with. Delivered ahead of schedule. Knew exactly what I needed and was extremely professional. Will definitely work with him again.
AH
Andrew H.
May 22, 2026
Research European Residential Property Data Access and Build Simple AVM Prototype (Ex-UK)
Clearly laid out deliverables, reported progress.
Finished in plenty of time & checked that met requirements and quality.
A pleasure to work with - very professional
Finished in plenty of time & checked that met requirements and quality.
A pleasure to work with - very professional
KM
Kevin M.
May 14, 2026
Forensic Title Pipeline - NC Court & ROD Data
Carlos is the man. I loved working with him, and I will keep working with him. This is the second project I've done, and I've already got another one lined up. He's really smart. He's a great problem solver. He gets his hands dirty and he follows through. He's a great collaborator and solution finder.
AB
Alex B.
Apr 29, 2026
Title (50 chars): StorEdge FMS Data Extractor - Em
Great planning and prep to get to a clear definition of options and success. Thanks Carlos!
OA
Oguz A.
Apr 23, 2026
Konut Radari Intelligence - Real Estate Engine
Carlos is amazing, I am the worst customer to work with, have an idea but no knowledge. He patiently listened to me, answered very quickly all the time and delivered the project better then my initial projection with additional ideas. Hope to work with him again…
About Carlos
Data Extraction & Pipelines | Real Estate & Public Records | Anti-Bot
100%
Job Success
San Luis Potosi, Mexico - 5:14 pm local time
If you source deals, monitor court filings, or need leads from public data across multiple counties, I build pipelines that pull from protected sources and keep running daily.
And when standard tools or AI scrapers hit a wall — Akamai, Cloudflare, DataDome, reCaptcha — that anti-bot work is exactly what I've specialized in for years.
I've spent 9+ years on Data Extraction & Pipelines (20+ in technology, with a network security background) getting data out of sources that don't want to give it up, and turning it into systems my clients run their businesses on: deal sourcing, lead generation, price monitoring, market intelligence.
Clients usually come to me when:
- They need court records or public data across multiple counties
- They want ownership distress signals before competitors find them
- They need public records turned into lead generation and skip tracing workflows
- Their existing extraction process keeps breaking
- They need to work with data on protected websites and anti-bot
- The project needs ongoing monitoring, not a one-time export
Where I'm genuinely hard to replace:
Protected sites and hidden APIs. Akamai, Cloudflare, DataDome, PerimeterX, reCaptcha, device fingerprinting. Mobile and web reverse engineering to reach hidden APIs when the protocol allows it — direct platform connections over headless browsers. When standard web scraping tools and AI scrapers hit a wall, this is the work I've specialized in for years. And if a target is technically or legally not viable, I'll tell you that too, before you spend money.
Court and government platforms. Tyler Odyssey, Socrata, Granicus, Laserfiche, CivicPlus, ArcGIS and a few dozen more I've already mapped. Here's the thing most people miss: what looks like hundreds of different government websites is usually a handful of underlying platforms. On a recent project, 250+ government sites came down to 10 integrations. Build the adapter once and the same system covers an entire state. Your project starts further ahead because of every project before it.
Pipelines that stay alive. Monitoring, alerting, retries, data quality checks, AI-assisted classification where it makes sense. I've taken over plenty of projects where the previous solution worked great in the demo and died three weeks later.
Selected work:
- Court records pipeline detecting ownership distress signals across 225+ counties and courts, feeding real estate acquisition workflows
- 100,000+ real estate listings deduplicated and merged with ownership, tax and valuation data for AVM workflows
- 250+ government sites analyzed and reduced to 10 platform integrations
- 96,000+ business entities extracted from government registries, classified by industry with LLMs, enriched with contact data
- 5,000+ municipal meetings scraped and analyzed with AI keyword intelligence across five government platforms; adding a new jurisdiction requires zero code changes
- 150,000+ grocery products monitored every 2-5 hours across major UK retailers
- 125,000+ automotive parts synchronized daily from marketplaces protected by enterprise anti-bot systems
Stack: Python, Playwright, Scrapy, FastAPI, PostgreSQL, MongoDB, JS/TS, LLM integration, OCR, document processing, ETL workflows.
A note on how I prefer to work: the best results come from ongoing monitoring relationships, not one-off extractions. Sources change; a system someone maintains beats a deliverable someone forgets. I offer managed monitoring for clients who need continuous data, and fixed-scope builds when that's the better fit. Either way, you get working infrastructure with documentation, not a zip file with a script in it.
If a source has been giving you trouble, send me the URL. I'll usually know within a day whether it's feasible and roughly what it takes.
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real estate data, property data, real estate leads, mls data, foreclosure data, court records monitoring, government data, municipal data, regulatory data, foia, competitor intelligence, data pipeline, automated data pipeline, scheduled extraction, data orchestration, proxy rotation, browser automation, python automation, data classification, data normalization, data enrichment, data validation, document extraction, structured data delivery, supabase, ai data processing, llm integration, demandstar, tyler odyssey, granicus, primegov, legistar, civicplus, agendacenter, civicclerk, escribe, agendalink, laserfiche, swagit, hyland onbase, iqm2, civicweb, boarddocs, diligent, revize, municode, destiny, veconnect, tyler energov, arcgis hub, ckan, accela, opengov, clerk of courts, property appraisers
Steps for completing your project
After purchasing the project, send requirements so Carlos can start the project.
Delivery time starts when Carlos receives requirements from you.
Carlos works on your project following the steps below.
Revisions may occur after the delivery date.
Criteria alignmen
We nail down the classification rules and edge cases together before any code runs.
Pipeline build + validation
I build the LLM pipeline with QC and validation. Mid-point check on Standard and Advanced.