Alexander C.

I build deterministic Python systems that extract, classify, and enrich data at scale - no fragile no-code chains, no manual steps. What I deliver: Data Pipelines: Bulk extraction, classification, and enrichment across thousands of records. CSV in, structured data out. Fully automated, fully auditable. AI/ML Systems: LLM-powered scoring, document analysis, and workflow automation. Claude, Gemini, and open-source models integrated into production Python pipelines. Scraping & Extraction: Custom crawlers, API integrations, and multi-source data resolution. Built to run unattended at scale. Recent results: 35,937 contacts scored with a 10-signal model, daily prioritized output for sales team (CRM integrated) 1,148 companies classified by technology stack at 89.5% accuracy 3,850 prospects enriched with verified contacts from a single automated batch Background: Medical Physics (MSc, UCL) and Bioengineering (Siemens Healthineers). Same zero-error methodology applied to data infrastructure - every output is deterministic, scalable, and auditable. Based in London. Available US/EU hours.