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Peter Chinaka's avatar
Peter Chinaka
proEdmonton, Canada
Project Management & Automation Specialist
13
Followers
Project Management & Automation Specialist
Cover image for Automated Jira-GitHub Board Integration Configured a
Automated Jira-GitHub Board Integration Configured a fully automated Jira board integrated with GitHub for Modigie's development team. Built 5 automation rules that transition ticket statuses based on pull request activity — PR opened moves the ticket to In Progress, review requested moves to In Review, and PR merged auto-resolves to Done. Branch naming convention (feature/MOD-###) auto-links commits and PRs to Jira tickets. Eliminated manual ticket updates entirely, reducing context switching for developers and keeping the board accurate in real-time with a full audit trail of code-to-ticket activity. Results: ✅ Zero manual Jira updates required ✅ 5 automation rules for full PR lifecycle ✅ Bi-directional GitHub ↔ Jira sync ✅ 100% PR tracking with auto-linked branches Tech: Jira, GitHub, Jira Automation Rules, Webhooks
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Cover image for AI Lead Qualification & CRM
AI Lead Qualification & CRM Automation I built a production AI system that enriches, scores, and qualifies leads using Apollo, PDL, and Claude AI — writing decisions and talking points back to HubSpot. How It's Used: A Sales Rep creates a HubSpot contact. n8n detects it, enriches via Apollo/PDL, runs Claude AI scoring, writes results back in under 60s. Qualified leads trigger Slack alerts. Key Highlights – 5-agent pipeline: Research, Qualification, Routing, Engagement, Feedback – Parallel enrichment + Claude AI analysis – n8n: HubSpot trigger → Vercel → CRM writeback + Slack – Configurable ICP settings — no code needed Outcomes ✓ End-to-end HubSpot → AI → CRM in under 60s ✓ 4-dimension scoring with feedback loop ✓ Live ops dashboard Stack - Python · Vercel · Supabase · n8n · Claude API · Apollo · PDL · HubSpot · Slack · React
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Cover image for Jira Service Management Optimization Redesigned and
Jira Service Management Optimization Redesigned and optimized Jira Service Management for a FAANG client's service operations environment. Rebuilt JSM workflows, SLA rules, and approval logic tied to Azure AD groups. Integrated Microsoft Teams and Outlook for seamless notifications and cross-team communication. Built automation rules for alerts, user flags, and comment restrictions on closed tickets. Results: ✅ Redesigned SLA rules and approval workflows ✅ Azure AD-based approval logic ✅ Teams & Outlook integration for notifications ✅ Automated alerts reducing manual intervention ✅ Delivered improvements that led to repeat business Tech: Jira Service Management, Azure AD, Microsoft Teams, Outlook, Automation Rules
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Cover image for Built a full-stack AI automation
Built a full-stack AI automation system that transforms how the company responds to RFPs. Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review. Results: ✅ Reduced proposal creation from 4-6 hours to under 30 minutes ✅ 90% auto-complete rate on proposal sections ✅ 14+ RFPs processed through the pipeline ✅ Full proposal dashboard with status tracking Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
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