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Profile intelligence
Parse resumes, profiles and portfolio links into skills, experience, education, projects and preferred roles.
Product overview
An upcoming AI career operating system that helps job seekers discover relevant roles, optimize resumes, generate cover letters, automate application workflows and track progress.
Ascenjo is planned as a React, TypeScript, Tailwind and ShadCN web app for dashboards, job recommendations, resume workflows, application tracking and analytics.
A NestJS backend with Prisma, JWT and PostgreSQL powers profiles, jobs, resumes and applications. pgvector supports semantic matching between resume embeddings and job embeddings, while Redis handles cache, sessions, rate limiting and AI response caching.
The AI and agent layer uses OpenAI, Gemini or Claude for resume analysis, ATS optimization, cover letters and job scoring, with Playwright + Chromium browser agents for assisted job applications.
Parse resumes, profiles and portfolio links into skills, experience, education, projects and preferred roles.
Search and rank jobs from portals and company career pages based on role, location, salary, visa needs and fit.
PostgreSQL with pgvector stores resume and job embeddings for meaning-aware job recommendations.
Generate ATS-optimized resumes and personalized cover letters for specific job descriptions.
Playwright and Chromium support assisted application workflows like filling forms and uploading resumes with user approval.
Track application status, interviews, offers and analytics from a single dashboard.
The people behind the build — and exactly what they owned.
Leads product direction, AI workflow design and the career automation vision.
Owns backend architecture, APIs, database workflows and service integration.
Builds product features, frontend flows and reliable user-facing workflows.