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Opportunity Discovery & Workflows

AI Job Search Platform.

An AI-powered tool for discovering opportunities and simplifying job applications.

AI workflowsBrowser automationAPI integration

ai_job_search_platform.project

Less application friction. More relevant opportunities.
A case study in progress

Experience and results reflect my résumé. Sections marked “Documentation pending” await a deeper walkthrough. Screenshots and decision records will be added when available.

PRODUCT SCOPE

A connected product experience.

  • Job discovery
  • Résumé personalization
  • AI-assisted workflows
  • Browser automation
  • API integration
  • End-to-end product development
01

Context

The AI Job Search Platform connects opportunity discovery with résumé personalization and application workflows. Its scope brings AI assistance, browser automation, and API integrations into the same product.

02

Customer problem

Job seekers need to find relevant openings and tailor applications while keeping their professional history accurate. Research findings, target segments, and observed behavior are awaiting documentation.

03

What I owned

Built the platform from zero to one, connecting relevant job discovery, résumés tailored to each job description, and automated application workflows.

04

Strategy & prioritization

Documentation pending

Document how the product balances discovery relevance with application effort. Identify the first supported job-search workflow and the evidence used to choose it.

05

Constraints & options considered

Documentation pending

Explain where assistance ends and user approval begins. Capture actual decisions about résumé accuracy, job matching transparency, and the limits of browser automation across different application forms.

06

Key decisions & why

Documentation pending

The decisions behind the first version, the alternatives, and the reasoning are still to be written up.

07

Execution

The platform uses OpenRouter, Browserbase, Railway, Netlify, Resend, REST APIs, and webhooks to connect role discovery, résumé tailoring, and application automation.

08

Outcome & learning

Built a connected workflow for discovering relevant roles, tailoring résumés to job descriptions, and automating applications. Quantitative impact results are not included in the supplied résumé.

09

Challenges & lessons

Documentation pending

Add a real example of an inconsistent job source or application flow, the fallback behavior, and what it taught you about keeping users informed during automation.

10

What I’d change

Documentation pending

A proposed next step is to evaluate opportunity relevance and factual accuracy in personalized résumés separately, then investigate the points where applicants need more control. No evaluation results are claimed.