CareerKor Platform
An enterprise-grade AI ecosystem designed to bridge the gap between job seekers and Applicant Tracking Systems (ATS).
Active monthly users optimized
Real-time UI state re-renders
Avg. ATS score improvement
The Engineering Challenge
Modern Applicant Tracking Systems (ATS) use complex parsing logic to filter candidates. Job seekers often fail not due to lack of skill, but because of poor formatting and keyword density.
The objective was to build a platform that could simulate these ATS engines in real-time, providing job seekers with a "score" and actionable suggestions as they type their resume.
Architectural Solutions
Normalized Redux State
Managing a complex, nested resume structure (education, experience, skills) required a highly optimized state management strategy. By normalizing the data, we achieved O(1) lookups and sub-16ms update cycles, ensuring no input lag during intensive AI scoring.
Custom SSR PDF Pipeline
Most PDF libraries generate non-selectable text or unparsed structures. I developed a specialized SSR pipeline using Puppeteer and CSS print-media queries that renders the React UI into high-fidelity, machine-parseable PDFs that pass 100% of ATS validation tests.
Development Outcome
- Successfully launched to production with 500+ organic users.
- Achieved 95+ Lighthouse accessibility scores on all core pages.
- Implemented a secure, role-based user authentication system.
- Seamlessly integrated OpenAI's GPT-4 for granular resume suggestions.
Technical Stack
Have a technical challenge?
I specialize in turning complex data problems into seamless, performant digital experiences.
Consult with MeStart an engineering partnership.
Providing technical leadership to ensure your project's success through scalable architecture and clean code.
Response SLA
Guaranteed within 24 hours
Confidentiality
100% Secure & NDA Compliant
Contact Form
Reach out and I'll get back to you shortly.