Andrew Harris

• Lead a cross-functional team of engineers and data scientists responsible for large-scale dark-web intelligence acquisition - collection spans forums, ransomware leak sites, marketplaces, messaging platforms, paste sites, and threat-actor infrastructure across hundreds of monitored communities
• Own technical strategy and execution for adversarial-environment collection systems serving enterprise security customers worldwide; drive intelligence freshness, collection reliability, and time-to-detection from publication to customer visibility
• Oversee development of entity resolution, identity correlation, and attribution capabilities that connect threat actors across dark-web forums, credential exposures, social platforms, and open-web sources
• Guide investments in AI-assisted extraction, classification, enrichment, and search to accelerate analyst workflows and intelligence discovery
• Partner with threat-intelligence researchers, product managers, and executive leadership to translate intelligence requirements into scalable technical capabilities; establish operational metrics and SLOs for critical acquisition systems

• Architected and scaled a SERP engine processing 500M+ monthly searches and distributed crawler frameworks handling 1B+ pages/month with intelligent throttling, caching, and diffing
• Lead multiple teams of engineers across backend, DevOps, and ML; establish agile roadmaps, velocity metrics, and CI/CD standards
• Pioneered agentic extraction systems using LLMs and domain-specific SLMs for high-precision entity and event detection
• Integrated and normalized multi-format datasets from two global vendors (covering 600M+ people and 100M+ companies), building ETL pipelines and graph linking logic
• Developed news-velocity tracking and realtime acquisition-signal models linking information flow to public-market behavior

• Mentored 50+ engineers across data, backend, and automation teams, building culture of experimentation and distributed architecture
• Orchestrated transition from monolithic crawlers to microservices architecture

• Drove incremental value and new licensed data assets from 5+ partnerships with double digit ROI
• Created BI function and vision, hired BI manager and analysts, achieving 50% reduction in dashboard delivery time

• Joined as one of first 150 employees; contributed to foundational systems enabling growth from startup to enterprise scale
• Authored voicemail fingerprinting algorithms validating phone-number ownership, ingesting tens of millions of data points
• Accelerated contact-growth from <1M to >100M verified entities through analytical models and data quality improvements
• Conducted specialized research projects supporting product development and data acquisition initiatives during critical growth phase

Google Search and Maps SERP scraper with Flask web UI, PostgreSQL storage, and batch CSV processing

Agentic RAG platform for navigating the legal system - crawls, indexes, and enables semantic search across legal documents

Universal web scraper with a 3-tier hybrid fallback strategy - stealth browser automation, residential proxy rotation, and request fingerprinting

Yelp business data extraction with deep pagination, Flask UI, PostgreSQL storage with deduplication, and real-time progress tracking

Fishing spot discovery platform for anglers. React/TypeScript frontend, Express backend, PostGIS for geospatial queries