Absham Amir
QA Engineer
70
Back to Talent Pool
AA
Absham Amir
Applied at 2026-06-03
Verified
70/100
Skill Score
Solid
70/100
Skill Score
70/100
Key Issues Identified:
“Lack of clarity, spelling and grammatical errors, insufficient depth.”
Recommendations:
Shows good understanding of QA principles but needs to improve clarity and depth.
Interview Insight
About Candidate
Risk Level
Low Risk
AI Confidence
70%
Next Step
HR Review

Shows good understanding of QA principles but needs to improve clarity and depth. Assessment highlights: Adequate — showed methodology; Weak — limited tool knowledge.

Candidate Evaluation ›
Traits:↗ High energy↗ Needs clarity↗ Fast delivery
Stage 1: Evaluation Metrics
68/100

Response Quality

65/100

Answer Depth

72/100

Topic Coverage

70/100

Reasoning Clarity

74/100

Question Relevance

Stage 2: Multi-Agent Chatbot Talent Insights
Manual Testing70
API Testing50
Performance Testing80
Team Collaboration80
020406080100
Stage 3: AI-Driven Avatar Evaluation ReportPseudo
00.511.52Time →
Engagement Score
Communication Quality
Confidence Score
Engagement Score
62
/100
Communication Quality
65
/100
Confidence Score
60
/100
Speech Pace
195
wpm
Pause Distribution
1.8s
avg
Speaking Ratio
47/53
AI · Candidate
Stage 4: Algorithmic & Coding Skills EvaluationPseudo
68

Problem Solving

65

Code Quality

60

Algorithm Efficiency

55

Edge Case Handling

72

Debug Speed

Test Cases
11/ 16 passed
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Complexity & Languages
O(n³)
Languages Used
⬡ JavaScript
Interview Insight