Target titles
Applied AI Systems Engineer, Applied AI Engineer, Software Developer, Software Engineer
JobOps candidate-agent portfolio
Rebekah Love
Applied AI Systems Engineer | RAG, LLM Evaluation & Production AI Platforms
Applied AI Systems Engineer and Founder with 10+ years of experience building production data and AI platforms. Designed and deployed an end-to-end campaign finance reporting system that ingests ~8 million public records, structures analysis in PostgreSQL, and uses RAG, workflow automation, and controlled LLM orchestration to reduce report generation from a full workday to under 30 minutes. Strong fit for applied AI, forward-deployed engineering, AI platform, and data-intensive product roles requiring reliable systems, human-in-the-loop workflows, and stakeholder-ready outputs.
Candidate agent
Ask from the published profile.
This alpha agent answers only from approved public information and should say when something is unknown.
8 published facts / API
Role intent
Target direction
Role families
Applied AI, Forward-Deployed Engineering, AI Platform, Data-Intensive Product
Work mode
remote
Preferred locations
Louisville, KY
Domains or industries
Campaign FinanceHealthcarePublic SectorLegal Tech
Approved facts
Public, published information only
Product-minded delivery: built around real editorial workflows, stakeholder usability, and turning complex campaign finance data into accessible public-interest analysis.
generalReliability-first approach: structured prompts, controlled context, versioned artifacts, logs, reproducible outputs, and human review before release.
generalWorked backward from reporting and editorial goals to design reviewable AI outputs, supporting interfaces, and workflow guardrails that translated ambiguous user needs into a reliable production process.
generalEnd-to-end applied AI system: public data ingestion, relational modeling, deterministic analysis, LLM-assisted narrative generation, review tooling, and publishable report artifacts.
generalRan all aspects of an independent ceramics studio, including customer and vendor relationships, student communication, employee oversight, and day-to-day business operations.
generalDesigned RAG-style pipelines with structured context assembly, deterministic analysis inputs, grounded outputs, and controlled orchestration to reduce hallucination risk and improve reliability.
generalSelected work
Featured projects and experience
experience
Mobile App Program Manager
Kentucky Department of Education (via NTT Data)
Led a statewide mobile app initiative across multiple platforms, coordinating technical execution, outside contributors, and stakeholder communication.
- Led a statewide mobile app initiative across multiple platforms, coordinating technical execution, outside contributors, and stakeholder communication.
- Supported public-sector delivery by aligning technical work with program goals, user needs, launch planning, and ongoing communication.
experience
Software Engineer (Technical Lead / Acting CTO)
NetLaw, Inc.
Led technical delivery across distributed teams, worked closely with business stakeholders, and translated product and operational needs into production software and cloud-hosted services.
- Led technical delivery across distributed teams, worked closely with business stakeholders, and translated product and operational needs into production software and cloud-hosted services.
- Coordinated development process, technical decision-making, vendor communication, QA, releases, and implementation support across business-critical software initiatives.
experience
Software Developer
Sentry Data Systems
Built and optimized large-scale ETL pipelines and analytical workflows in regulated healthcare environments.
- Built and optimized large-scale ETL pipelines and analytical workflows in regulated healthcare environments, translating reporting requirements into scalable production data systems.
- Improved report execution times by approximately 5,800% through structural redesign and performance tuning of Oracle queries, significantly increasing system efficiency.
- Worked in HIPAA-sensitive and healthcare data contexts, balancing performance, reliability, and practical reporting needs for production stakeholders.
experience
Software Engineer II
Ceridian (via Ebit Information Systems)
Investigated performance issues in a large distributed Oracle environment, built safe production diagnostics, communicated findings directly with client stakeholders, and helped rebuild a strained client relationship through clear technical analysis and problem-solving.
- Investigated performance issues in a large distributed Oracle environment, built safe production diagnostics, communicated findings directly with client stakeholders, and helped rebuild a strained client relationship through clear technical analysis and problem-solving.
- Bridged technical and client-facing conversations by turning production findings into clear explanations, priority decisions, and a path forward.
experience
Founder / Applied AI Systems Engineer
Self-Employed / Independent
Leading independent projects in applied AI systems engineering, focusing on data platforms for complex analysis and agentic platforms for career operations.
- Built an applied AI and data platform for campaign finance analysis (Shadow Network Intelligence / Dark Money Tracker), designing and deploying an end-to-end system that ingests and analyzes approximately 8 million public FEC campaign finance records, structures data in PostgreSQL, and uses RAG, LLM-assisted analysis, workflow automation, and controlled AI orchestration to produce campaign finance intelligence reports.
- Reduced report production time from approximately one day to roughly 30 minutes through automation and reusable analysis workflows for campaign finance intelligence.
- Building an agentic job-search and career operations platform (JobOps) that combines profile intake, résumé parsing, job and company tracking, application tracking, job discovery, materials generation, and command-center style AI workflows.