Paxi engineering ecosystem
Job Search Automation System
AI-Powered Career Operations Platform · Active
Full-cycle AI-powered job search automation system — RSS ingestion from 10+ job boards, GenAI CV tailoring, cover letter generation, gap analysis reporting, ATS detection, Excel-backed application tracking, and LinkedIn connection targeting. Built and operated as a live daily pipeline.
Delivery classification
AI systems · Automation
Domain tags
platform-case-study · domain-ai · private
Capability tags
ai, ai-native, Python, Claude API, RSS / Atom, openpyxl, DuckDuckGo Search, HTML, PowerShell
Operational environment
- Replace hours of daily manual job search work with a governed, AI-integrated pipeline — scraping, scoring, tailoring, applying, and tracking applications with full audit history and ATS risk filtering.
- Modular Python pipeline: RSS ingestion across 10+ job boards, GenAI tailoring engine via Claude API, Excel-backed application tracker, Workday ATS blocklist via URL signal and company-name matching, JD frequency analysis, gap analysis reporting, and daily HTML output surface. LinkedIn connection targeting via DuckDuckGo search with deduplication and personalized outreach generation.
Responsibilities & ownership
- Replace hours of daily manual job search work with a governed, AI-integrated pipeline — scraping, scoring, tailoring, applying, and tracking applications with full audit history and ATS risk filtering.
Architecture & systems
- Modular Python pipeline: RSS ingestion across 10+ job boards, GenAI tailoring engine via Claude API, Excel-backed application tracker, Workday ATS blocklist via URL signal and company-name matching, JD frequency analysis, gap analysis reporting, and daily HTML output surface. LinkedIn connection targeting via DuckDuckGo search with deduplication and personalized outreach generation.
- Representative technology surface: Python, Claude API, RSS / Atom, openpyxl, DuckDuckGo Search, HTML, PowerShell.
Technology stack
- Python
- Claude API
- RSS / Atom
- openpyxl
- DuckDuckGo Search
- HTML
- PowerShell
Challenges
- Delivering a governed, maintainable system in a production or production-adjacent enterprise context — balancing scope, security, observability, and delivery cadence.
- Strategic initiatives often operate under confidentiality constraints that limit public disclosure of architecture detail and quantitative outcomes.
Solutions implemented
- Replace hours of daily manual job search work with a governed, AI-integrated pipeline — scraping, scoring, tailoring, applying, and tracking applications with full audit history and ATS risk filtering.
- Modular Python pipeline: RSS ingestion across 10+ job boards, GenAI tailoring engine via Claude API, Excel-backed application tracker, Workday ATS blocklist via URL signal and company-name matching, JD frequency analysis, gap analysis reporting, and daily HTML output surface. LinkedIn connection targeting via DuckDuckGo search with deduplication and personalized outreach generation.
Outcomes
- Quantitative client outcomes for this initiative are reserved for qualified conversations; the narrative here reflects scoped intent, architecture, and delivery posture as documented in the portfolio source data.
Lessons learned
- Modular Python pipeline: RSS ingestion across 10+ job boards, GenAI tailoring engine via Claude API, Excel-backed application tracker, Workday ATS blocklist via URL signal and company-name matching, JD frequency analysis, gap analysis reporting, and daily HTML output surface. LinkedIn connection targeting via DuckDuckGo search with deduplication and personalized outreach generation.
- Operational credibility comes from narrow stack choices, explicit governance hooks, and disciplined extension points — not from surface breadth.
AI-ready metadata
Structured tags and classifications on this page mirror the knowledge object in data/case-studies.ts for future grounding pipelines — no claims beyond the sourced portfolio text.