GuideEvery HireGEN score is traceable to the evidence behind it.See how evidence labels work →
Sample data

Priya A.

B.Tech, OUCE (2024) · Hyderabad

Target: Frontend Engineer · Razorpay-tier fintech

Match score
0
vs target role
Proof summary

Tier-2 college, 2 years freelance frontend, 3 shipped React projects, active on GitHub. Strong on React + TypeScript + design systems; growing on backend + system design.

1
Resume
2
Git / Projects
3
Evidence graph
4
Target fit
5
Lab preview

Skill graph

React
0
frontend · evidence age 4d
Evidence: github · example-priya/dashboard-kit
Candidate supplied
TypeScript
0
frontend · evidence age 4d
Evidence: github · example-priya/dashboard-kit
Candidate supplied
Next.js
0
frontend · evidence age 9d
Evidence: project · shipped freelance e-commerce
Candidate supplied
Tailwind CSS
0
frontend · evidence age 4d
Evidence: github · example-priya/dashboard-kit
Candidate supplied
Python
0
backend · evidence age 28d
Evidence: github · example-priya/ml-experiments
Candidate supplied
SQL
0
database · evidence age 14d
Evidence: resume · 2 yrs freelance
Candidate supplied
REST APIs
0
backend · evidence age 14d
Evidence: project · fintech integration
Candidate supplied
Vitest
0
testing · evidence age 21d
Evidence: github · example-priya/dashboard-kit
Candidate supplied
System Design
0
soft_skill · evidence age 60d
Evidence: resume · self-taught
Candidate supplied

Proof badges

Git Verified
Awarded
Candidate supplied

Authorship verified across 8 repos with consistent commit cadence

Skill Graph
Awarded
Candidate supplied

9 skills mapped, 7 evidence-backed

Project Builder
Awarded
Candidate supplied

3 shipped projects with live URLs

Lab Proof
Locked
Candidate supplied

Validation lab session not yet completed

AI Ready
Locked
Candidate supplied

AI/ML skills below target threshold (72 < 80)

Career Bridge
Awarded
Candidate supplied

Tier-2 → Tier-1 candidate eligible for recruiter intro

Gaps

high
System Design

Ship one mid-complexity case study (e.g. URL shortener architecture) and document trade-offs.

medium
AI Ready (LLM integration)

Build one project that calls an LLM API meaningfully.

medium
Lab Proof

Complete a 15-min adaptive validation on React + TypeScript.

Planned validation layer

Role-fit lab sandbox preview

The next proof layer turns high-priority gaps into practical tasks, then records evidence recruiters can review.

Lab 1
System Design
Lab 2
AI Ready (LLM integration)
Lab 3
Lab Proof
> build role-fit task
> capture evidence
> human review required
> status: preview

12-week roadmap

W1
System design fundamentals
Read DDIA Ch. 1-3, post 1 takeaway thread
W2
Ship system design case study
URL shortener with caching layer — architecture doc + repo
W3
LLM integration project
Chat app with structured-output OpenAI calls
W4
Lab Proof completion
15-min React + TypeScript validation passed
W5
Open source contribution
1 merged PR to a popular React project
W6
Public writing
Long-form post on system design trade-offs from week 2
W7
Mock interviews
3 system design mocks with peers
W8
Portfolio polish
Update Proof Profile, refresh GitHub README
W9
Recruiter outreach
Apply to 5 Razorpay-tier roles via HireGEN intros
W10
Interview cycle
Convert 2-3 intros to phone screens
W11
Offer negotiation prep
Research salary bands for target role + city
W12
Close
Accept best-fit offer