Nwoyi Philip
I Build High ROI Voice AI Operating Systems
Ready for work
Nwoyi is ready for their next project!
Applying to jobs is exhausting.
You find a role you want. Copy the description. Rewrite your CV to match. Hope it gets past the ATS. Repeat 50 times.
Most people give up halfway through.
What I built:
A multi-agent system powered by CrewAI that handles the entire process autonomously:
Parser Agent extracts your skills and experience from your base CV
Job Analyst Agent scrapes the job posting and identifies exactly what they want
CV Writer Agent rewrites your CV to perfectly match their requirements
Scorer Agent rates your final CV out of 100 and suggests improvements
How it works:
Drop in a job URL. The system handles everything—scraping, analyzing, rewriting, scoring. You get an ATS-optimized CV tailored to that specific role in minutes.
Template Link: https://github.com/Nwoyi/cv_multi_agent.git
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How I Built a 24/7 SSDI Screening Agent That Turned Missed Calls Into Signed Clients
A law firm had a problem costing them money daily: calls flooding in, but nobody to answer.
Every missed call was a potential client searching elsewhere. Money walking out the door.
What I built:
A 24/7 AI voice agent that:
Answers every call, any time
Collects details and asks qualifying questions
Determines SSDI eligibility
Auto-sends a retainer agreement pre-filled with their info
The result?
Qualified callers only add their SSN and sign. That's it.
The firm went from losing opportunities to onboarding clients faster than ever. No missed calls. No lost revenue. Just a system that works while they sleep.
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This workflow links an AI voice agent to HubSpot to automate all outbound and inbound lead calls. It pulls reactivated leads on a schedule, qualifies them, books meetings, updates CRM records, and handles new or existing contacts automatically. It also answers inbound calls instantly, preventing missed leads and improving speed-to-lead. HubSpot users get a fully hands-free appointment-generation system that runs reliably without manual effort.
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The Voice AI dilemma: Do you need highly accurate, human-like understanding (slow 🐢), or lightning-fast, rule-based responses (fast 🐇)? What's your priority?
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