Resume Intelligence
Automated resume analysis that scans formatting, keywords, and structural clarity, providing candidates with actionable scoring and improvement suggestions.
LAUNCHED PRODUCT & VENTURE
Hired AI
An AI-powered career and hiring platform built and launched by Varshan K, integrating resume intelligence, ATS optimization, and patented hiring architecture to streamline recruitment workflows.
PRODUCT OVERVIEW
Intelligent career technology for modern hiring
Hired AI was designed to solve the structural inefficiencies in early-career hiring: fragmented job searches, opaque applicant tracking systems (ATS), and time-consuming manual screening for recruiters. Led end-to-end by Varshan K as Founder & CEO, the product shipped 8 core functional modules in an intensive 6-week agile sprint and was validated with 30+ beta testers.
ATS Optimization
Simulates real-world Applicant Tracking System algorithms to highlight parsing errors, keyword omissions, and formatting bottlenecks before submission.
AI Interview Preparation
Interactive interview simulation tailoring role-specific questions and real-time structured feedback based on candidate responses.
Candidate Matching
Semantic matching engine aligning candidate skill profiles with job descriptions, reducing recruiter manual screening time by approximately 60%.
INTELLECTUAL PROPERTY
Indian Patent Application
AI-Driven Hiring Architecture & Intelligence
Authored by Varshan K, this patent application covers proprietary algorithms for automated candidate profiling, contextual resume parsing, and multi-dimensional skill verification in digital recruitment platforms.
FOUNDER EXECUTION
Led from 0-to-1 by Varshan K
LEADERSHIP
12-Member Cross-Functional Team
Coordinated engineering, AI practitioners, UI/UX designers, and testing contributors across structured sprint cycles.
PRODUCT RIGOR
PRDs & Agile Backlogs
Authored comprehensive Product Requirement Documents, defined user stories, established North Star metrics, and ran daily scrum rituals.
VALIDATION
Beta Testing & Launch
Conducted empirical testing with 30+ beta users, iterating rapidly on user feedback prior to live product release.