Dashboard / Candidate

Shiva Kumar

Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 16_shiva_kumar.pdf

Private: squad_4@pg27.mesaschool.co · 97183 52840

Applied-role score

5/100

#34 of 34 PM applicants

PM score

5/100

SPM score

0/100

Current status

Analysed

Below shortlist (AI suggestion)

Your decision

Why they fit

No criterion reached a clear-evidence score (3/5 or higher) on the PM rubric.

Where they fall short

Problem -> Change -> Result −20 pts
The CV mentions participating in defect bugging and appliance migration, but provides only a generic task description. There is no specific problem identified, no distinct candidate-driven change, and no measurable outcome or result reported.
Evidence-Led Decisions −20 pts
There is no evidence in the CV demonstrating evidence-led decisions. The candidate does not mention using data, customer feedback, or post-mortems to prioritize, change, or stop any initiative.
Builds Repeatable Ways of Working −20 pts
Evidence for building repeatable ways of working is not present in the CV. There are no mentions of creating tools, templates, documentation systems, or processes adopted by others.

Rubric breakdown: PM

PM (applied)SPM

Criterion	Weight	Score	Weighted	AI reasoning	Evidence from CV
Problem -> Change -> Result	25%	1/5	5.0/25	The CV mentions participating in defect bugging and appliance migration, but provides only a generic task description. There is no specific problem identified, no distinct candidate-driven change, and no measurable outcome or result reported.	“Worked on OV4VC and COM4VC plugins focusing on backend devolopment,defect bugging and appliance migration from CentOS to Rocky linux.”
Evidence-Led Decisions	20%	0/5	0.0/20	There is no evidence in the CV demonstrating evidence-led decisions. The candidate does not mention using data, customer feedback, or post-mortems to prioritize, change, or stop any initiative.	Evidence not present in the CV.
Builds Repeatable Ways of Working	20%	0/5	0.0/20	Evidence for building repeatable ways of working is not present in the CV. There are no mentions of creating tools, templates, documentation systems, or processes adopted by others.	Evidence not present in the CV.
Carries Ambiguous Problems Through to Closure	20%	0/5	0.0/20	There is no evidence of the candidate managing ambiguous, cross-functional problems through to closure. The CV contains only brief task descriptions of software development and coursework.	Evidence not present in the CV.
Gets to the Source Before Designing the Fix	15%	0/5	0.0/15	The CV shows no evidence of direct user research, stakeholder interviews, or firsthand discovery driving product or process fixes.	Evidence not present in the CV.
Total	100%		5	The candidate has an entry-level software engineering background with personal machine learning projects and standard IT certifications. Across all five PM rubric criteria, the CV lacks evidence of product management practices, evidence-based decision-making, process building, discovery, and driving outcomes from problem to resolution.

Scoring scale

0: No evidence in the CV
1: Indirect or participation-only evidence
2: Partial: some elements of the description, weak link to outcome
3: One clear example matching the description
4: Clear example with a visible result, candidate's own action linked to it
5: Repeated, strong examples fully matching the description, with results

Weighted contribution = score ÷ 5 × weight. Every quote is checked against the CV text; if none can be verified, the score is capped at 1.

Evidence

Verified CV quotes used (PM rubric)

“Worked on OV4VC and COM4VC plugins focusing on backend devolopment,defect bugging and appliance migration from CentOS to Rocky linux.” · Problem -> Change -> Result

Outcomes stated in the CV

Migrated appliance environment from CentOS to Rocky Linux for OV4VC and COM4VC plugins
Developed AI chatbots for sex education, mental health, room design, recipes, and fitness using Google AI Studio and Gemini API
Implemented machine learning models for malware detection, heart failure prediction, and breast cancer detection

Anonymised CV (exactly what the AI saw)

| | |
EDUCATION
R.M.K COLLEGE OF
ENGINEERING AND
TECHNOLOGY
BE in Computer Science
June 2024 | Tiruvallur, TamilNadu
CGPA: 8.04 / 10.0
VELAMMAL MATRICULATION
HIGHER SECONDARY SCHOOL
April 2020 | Chennai, TamilNadu
Marks : 409/600
VELAMMAL MATRICULATION
HIGHER SECONDARY SCHOOL
April 2018 | Chennai, TamilNadu
Marks : 452/500
LINKS
Github://
LinkedIn://
Skillrack://
UX Casestudy:// NOTION
SKILLS
TECHNICAL SKILLS
• HTML | CSS | Js
• C | C++|C sharp
• Python
• flask
• MongoDB
• Git Github
• SQL
SKILLS
DESIGNING SKILLS
• Adobe Illustrator
• Figma
• Framer
SOFT SKILLS
• Problem-Solving
• Time Management
• Adaptability
• Collaboration
EXPERIENCE
RELEVANTZ | Software engineer - Intern
Jan 2025 - Mar 2025 | virudhunagar, TN
• Worked as a part of the RIX.NET full stack training, gaining exposure to
C,C++C,,OOPS,datastructures,SDLC,UML and front end technologies.
HPE (THROUGH MPHASIS) | Associate Software Engineer
March 2025 - | Bengaluru, KA
• Worked on OV4VC and COM4VC plugins focusing on backend
devolopment,defect bugging and appliance migration from CentOS to
Rocky linux.
CERTIFICATIONS
AZURE FUNDAMENTALS - 900 | MICROSOFT |
|Verification Link | May 2024 | Chennai, TN
TOEFL IBT | ETS |
|Verification Link | Aug 2023 | Chennai, TN
INTRODUCTION TO GENERATIVE AI | Coursera
|Verification Link| Sep 2023 | Chennai, TN
FOUNDATIONS OF USER EXPERIENCE DESIGN | Coursera
|Verification Link| Sep 2023 | Chennai, TN
PROJECT MANAGEMENT COURSE |Great Learning|
|Verification Link | Feb 2023 | Chennai, TN
PROJECTS
MALWARE DETECTION | ML Algorithms | [...Colab Link]
Malware detection using various machine learning algoithms (KNN,XG
Boost, Random Forest).
HEAR FAILURE PREDICTION | ML Algorithms |
Heart Disease prediction using various machine learning algoithms (LR,
DTC, SVC, RFC, KNN, preceded by EDA.).
BREAST CANCER DETECTION | ML Algorithms | [...Colab Link]
Breast Cancer detection using various machine learning algoithms (SVM,
KNN, LR, CART, NB, LDA).
AI (POC) | Google AI Studio , Gemini API , Node.js | [...Demo Link]
[...Doc Link]
Developed AI chatbots for sex education, mental health, room design,
recipes, and fitness using Google AI studio.
[CANDIDATE]
[EMAIL REDACTED] [PHONE REDACTED]
[CANDIDATE]

Redacted: name ×12, email ×1, phone ×1

Interview brief

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Email draft

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Audit trail (3)

9/29/2026, 11:35:56 AMsystemanalysis completed{"PM_score":5,"SPM_score":0}
9/29/2026, 11:35:56 AMsystemrole assigned best fit{"role":"PM","PM_score":5,"SPM_score":0}
9/29/2026, 11:29:30 AMsystemcv ingested{"file":"16_shiva_kumar.pdf","role":"AUTO","redactions":{"name":17,"email":1,"phone":1},"name_detected":true}