Contributed to the design and development of Project X, an AI-powered hiring platform MVP created to help employers identify, evaluate, and hire top talent more efficiently.

Worked on transforming an early-stage product vision into a functional recruitment platform by defining core workflows, shaping user experiences, and helping establish the foundation for AI-assisted hiring processes. The role involved balancing automation with human decision-making to create a hiring experience that is both efficient and trustworthy.

Project X is an AI-powered recruitment platform designed to help employers discover and hire high-quality candidates through intelligent screening, evaluation, and matching workflows.

The platform leverages AI to reduce manual effort throughout the hiring process, enabling organizations to identify relevant candidates faster, streamline evaluations, and make more informed hiring decisions. Built as an MVP, the product focuses on validating how AI can enhance recruitment while maintaining transparency and human oversight.

Contributed to product strategy and MVP definition

Designed and refined employer-facing hiring workflows

Helped structure AI-assisted candidate discovery and evaluation experiences

Collaborated on feature prioritization and validation for early product development

Worked closely with stakeholders to translate hiring challenges into product solutions

Supported testing, iteration, and launch-readiness activities

Contributed to usability improvements and workflow optimization

Figma

UX/UI Design

User Journey Mapping

Product Discovery

React

JavaScript

HTML / CSS

Node.js

Express

REST APIs

Database Management

AI Candidate Matching

Resume Screening Workflows

Candidate Ranking Systems

Recruitment Intelligence Features

Slack & Linear

Agile Collaboration

Quality Assurance & Testing

AI-assisted candidate discovery and talent matching

Intelligent resume screening workflows

Candidate evaluation and ranking systems

Centralized hiring and recruitment management

Employer dashboards for recruitment oversight

Hiring pipeline visibility and candidate tracking

Structured workflows for faster hiring decisions

AI as a hiring accelerator, not a replacement Designed the platform to assist recruiters and hiring managers by surfacing relevant candidates and insights while keeping final decisions in human hands.

Focus on MVP validation Prioritized the most impactful recruitment workflows to quickly validate product-market fit and gather meaningful feedback from early users.

Reducing hiring friction Streamlined candidate discovery, evaluation, and shortlisting processes to help employers identify strong candidates more efficiently.

Transparency in AI-assisted decisions Emphasized clear workflows and explainable recommendations to build trust in AI-generated hiring insights.

Project X established a strong foundation for an AI-powered recruitment platform aimed at helping employers identify and hire top talent more effectively. The project strengthened experience in MVP development, AI-assisted product design, and building workflow-driven systems where automation, usability, and human decision-making must work together to deliver value.