AI Agent · Job Market Intelligence · Cloud Career Strategy

ProjectNorthstar

An AI-powered career intelligence platform designed to scan the Canadian IT job market, evaluate ATS alignment, rank long-term-fit opportunities, and help target $70K+ cloud, Microsoft 365, Azure, AWS, and IT infrastructure roles.

$70K+Target role range

24/7Market monitoring concept

ATSResume-match scoring

View Architecture → Read Case Study

NORTHSTAR ENGINE · ACTIVE

Opportunity Match Snapshot

Cloud Support Analyst · Toronto Hybrid91%

Microsoft 365 Administrator · GTA88%

Junior Azure Infrastructure Analyst84%

ATS keywords detected · Azure · M365 · ITIL · Entra · Networking

The job market is noisy. Northstar finds the signal.

Project Northstar began as a personal problem: too many job boards, inconsistent postings, vague salary ranges, disappearing opportunities, and no clear way to know which roles were truly worth applying to. Instead of applying blindly, I designed a system that thinks like an analyst — scanning, scoring, comparing, and prioritizing roles based on skill fit, resume alignment, certification relevance, salary target, and long-term career growth.

01 · Problem

Fragmented search

Roles are spread across LinkedIn, Indeed, Job Bank, government boards, company career pages, and niche IT hiring sites.

02 · Insight

Not every match is worth it

A job can match keywords but still be weak for salary, commute, long-term growth, or cloud-career direction.

03 · Solution

Career intelligence engine

Northstar ranks opportunities using ATS alignment, cloud relevance, salary fit, career path, and application readiness.

From job discovery to application decision.

Northstar is designed as an AI agent workflow: collect job signals, normalize job descriptions, compare against a resume profile, score fit, generate recommendations, and maintain a clean application tracker.

A real project, not just a mockup.

Northstar can start as a practical no-code/low-code automation system and evolve into a full-stack AI agent with a dashboard, database, and API-driven workflow.

PHASE 01

Career Profile Foundation

Upload resume, certifications, skills, target salary, preferred locations, cloud tools, and long-term career direction.

Reusable profile memory

PHASE 02

Job Signal Collection

Collect job alerts from Gmail, selected job boards, government listings, and company career pages without depending on fragile scraping.

Clean job intake

PHASE 03

ATS & Fit Scoring

Use AI to compare each job against your resume, certifications, project portfolio, salary target, and cloud/IT growth path.

Ranked opportunities

PHASE 04

Application Assistant

Generate tailored resume keywords, cover letter drafts, interview prep bullets, and follow-up reminders for high-fit roles.

Faster applications

PHASE 05

Dashboard & GitHub Case Study

Turn the system into a recruiter-facing portfolio project with architecture diagrams, screenshots, metrics, and deployment notes.

Portfolio-ready proof

AI, automation, cloud thinking, and practical workflow design.

Claude APILong-form job description reasoning, role-fit analysis, cover letter drafting.

OpenAI APIStructured scoring, JSON extraction, application recommendations, agent workflows.

Gmail AlertsJob alert ingestion from LinkedIn, Indeed, Job Bank, and company pages.

Google Sheets / AirtableApplication tracker, status board, scoring database, follow-up queue.

Make / ZapierAutomation layer for job intake, tagging, routing, and notifications.

Python / FastAPIFuture backend for parser, scoring API, scheduler, and dashboard integrations.

React / Next.jsFuture dashboard for live job pipeline, analytics, and recommendation cards.

Supabase / PostgreSQLStructured storage for jobs, companies, skills, scores, notes, and outcomes.

Designed for usefulness first, portfolio value second.

Decision	Chosen	Rejected	Why it matters
Project name	Project Northstar	Generic JobBot	Northstar sounds strategic, memorable, and enterprise-ready.
Positioning	Career intelligence platform	Job scraper	Shows systems thinking, not just automation.
Data intake	Alerts + approved sources	Fragile scraping only	More reliable, safer, and easier to explain professionally.
Scoring	ATS + salary + career fit	Keyword matching only	Recruiters value judgment, not just matching.
Portfolio angle	Case study + architecture	Code dump only	Hiring teams understand the business problem and technical solution quickly.

A job-search system that also proves how I build systems.

Northstar is designed to support a focused search for $70K+ cloud, Microsoft 365, Azure, AWS, and IT infrastructure roles — while also acting as a recruiter-facing case study that demonstrates automation, AI integration, workflow design, documentation, and practical business thinking.

Back to Story ↑