An AI-powered system that turns scattered work history into structured career evidence for resumes, interviews, and career growth.

Evidra.ai is an AI career evidence system designed to help professionals capture, structure, and reuse the real proof behind their career growth.

Most job seekers start too late. They open a resume template, rewrite old bullets, or prepare generic interview stories only after they find a role. Evidra.ai starts earlier by helping users build a living evidence base from projects, responsibilities, wins, metrics, decisions, feedback, and work artifacts.

The system transforms unstructured career inputs into structured signals such as impact themes, role competencies, STAR stories, resume evidence, interview examples, positioning angles, and career progression patterns.

I designed Evidra.ai as a 0→1 AI product with a clear product strategy, problem framing, user workflows, roadmap, monetization thinking, and AI workflow architecture. The product focuses on making career claims more credible by grounding them in reusable evidence instead of vague self-description.

My Role

Founder / AI Product Manager / Product Strategist

I worked on:

Product strategy and positioning

Problem framing and user personas

Career evidence workflow design

AI extraction and structuring logic

Resume and interview evidence system design

Roadmap from MBP to scalable product

Monetization and go-to-market thinking

Content and launch strategy

Key Product Idea

Resume bullets are claims. Career evidence is proof.

Evidra.ai helps users move from:

“I am good at product strategy.”

to:

“Here are the projects, decisions, metrics, tradeoffs, and outcomes that prove my product strategy capability.”