Dashboard / Candidate

Vivek Patil

Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 19_vivek_patil.pdf

Private: squad_4@pg27.mesaschool.co · no phone found

Applied-role score

32/100

#25 of 34 PM applicants

PM score

32/100

SPM score

28/100

Current status

Analysed

Below shortlist (AI suggestion)

Your decision

Why they fit

Problem -> Change -> Result 25%
The candidate provides a clear example of tackling operational friction by implementing a mathematical recommendation model for Swiggy Scenes, which directly resulted in an 80% reduction in manual research time.

Where they fall short

Evidence-Led Decisions −16 pts
The CV notes market sizing and algorithmic supply prioritization, but it lacks evidence of decisions being redirected, stopped, or prioritized due to user feedback, usage metrics, or post-mortems.
Builds Repeatable Ways of Working −16 pts
The candidate automated manual research via an algorithmic model and automated a testing rig, but there is no evidence of creating templates, processes, or operating frameworks adopted by others.
Carries Ambiguous Problems Through to Closure −16 pts
The CV shows cross-functional coordination to achieve standard compliance and event team management, but lacks examples of taking messy or ambiguous business problems through resolution and follow-up.

Rubric breakdown: PM

PM (applied)SPM

Criterion	Weight	Score	Weighted	AI reasoning	Evidence from CV
Problem -> Change -> Result	25%	4/5	20.0/25	The candidate provides a clear example of tackling operational friction by implementing a mathematical recommendation model for Swiggy Scenes, which directly resulted in an 80% reduction in manual research time.	“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.”
Evidence-Led Decisions	20%	1/5	4.0/20	The CV notes market sizing and algorithmic supply prioritization, but it lacks evidence of decisions being redirected, stopped, or prioritized due to user feedback, usage metrics, or post-mortems.	“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.”
Builds Repeatable Ways of Working	20%	1/5	4.0/20	The candidate automated manual research via an algorithmic model and automated a testing rig, but there is no evidence of creating templates, processes, or operating frameworks adopted by others.	“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.”
Carries Ambiguous Problems Through to Closure	20%	1/5	4.0/20	The CV shows cross-functional coordination to achieve standard compliance and event team management, but lacks examples of taking messy or ambiguous business problems through resolution and follow-up.	“Coordinated with cross-functional teams to align design and development with project goals with 100% compliance to AIS Standards.”
Gets to the Source Before Designing the Fix	15%	0/5	0.0/15	There is no evidence in the CV of the candidate directly observing, interviewing, or shadowing users to diagnose problems before designing a solution.	Evidence not present in the CV.
Total	100%		32	The candidate demonstrates strong technical problem-solving, highlighted by developing an algorithmic model that reduced manual research time by 80% at Swiggy. However, the profile provides minimal or no evidence for core rubric areas including direct user discovery, building repeatable operating practices, and driving ambiguous issues to closure.

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)

“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.” · Problem -> Change -> Result
“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.” · Evidence-Led Decisions
“Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.” · Builds Repeatable Ways of Working
“Coordinated with cross-functional teams to align design and development with project goals with 100% compliance to AIS Standards.” · Carries Ambiguous Problems Through to Closure

Outcomes stated in the CV

Reduced manual research time by 80% by defining supply prioritization for Swiggy Scenes using a mathematical recommendation model.
Delivered a digital twin prototype capable of real-time feedback with ~90% accuracy in predictive failure analysis, reducing potential downtime by ~25%.
Achieved 100% compliance to AIS Standards in the design and development of a four-wheeler steering lock testing rig.

Anonymised CV (exactly what the AI saw)

| | [PROFILE URL REDACTED]
EDUCATION
Podar International School (ICSE), Aurangabad Aurangabad, MH
Class X - ICSE, CGPA: 9.48/10 Jul 2018 - Jul 2019
M.P. Junior College, Pune Pune, MH
Class XII - HSC, CGPA: 8.87/10 Jun 2020 - Jul 2021
Birla Institute of Technology and Science(BITS) Pilani - Pilani Campus Pilani, RJ
Bachelor of Engineering, Mechanical Engineering, CGPA: 6.57/10 Expected May 2026
Relevant Courses: MF F421 - Supply Chain Management, HSS F323 - Organizational Psychology, FIN F354 - Derivatives and Risk
Management, CS F111 - Computer Programming, EEE F411 - Internet of Things, ME F434 - Digital Twins in
Mechanical Engineering
Technical Proficiency: SQL, MS Excel, Python, Figma, JIRA, Generative Artificial Intelligence, HTML + CSS, Flask, C++, Java, API
WORK EXPERIENCE
Swiggy Ltd. Bengaluru, KA
Product Intern, CEO’s Office Jul 2025 – Jan 2026
● Leading the product lifecycle for Gen-AI initiatives across marketing and business; rapid prototyping to ship experimental features.
● Defined roadmap for the new Catering ($5.1Bn, 6% CAGR ) and Corporate Events ($3.7Bn, 12% CAGR).
● Defined supply prioritization for Swiggy Scenes using a mathematical recommendation model, reduced manual research time by 80%.
Central Institute of Road Transport(CIRT) Pune, MH
Project Management Intern May 2024 – Jul 2024
● Design and FEA Analysis of a four-wheeler steering lock testing rig with manufacturing plans and timelines.
● Led a team of 4 to design a testing rig in Fusion 360, analyze parts in SolidWorks, and automate the process using Arduino Mega.
● Coordinated with cross-functional teams to align design and development with project goals with 100% compliance to AIS Standards.
PROJECTS
audioleap.ai - LLM/Audio Engineering Mar 2025 - Present
● Developing an AI audio platform for enterprises, creators, and schools, enabling end-to-end production and interactive audiobooks.
● Working with Flask-CORS, OpenAI Python SDK, pytorch modules, pydub, OpenAI gpt-4o-mini and tts-1, faster-whisper.
● Leading a core team of 3, , managed SDLC from ideation to building an MVP, and preparing a GTM for a soft launch
Wear and failure analysis of a wind turbine bearing using digital twins - IoT/ML Apr 2025 - May 2025
● Developed a digital twin to predict equipment failure, analyzing 10k+ sensor data points, to transition to adaptive maintenance.
● Conducted predictive failure analysis using advanced mathematical modeling, identifying equipment failures with ~90% accuracy.
● Delivered a functional prototype capable of providing real-time feedback; reduced potential downtime by ~25%.
strangr.com - Social Media Platform Aug 2025 - Present
● Developed a product vision for Strangr.com, addressing adult loneliness with personality matching, targeting a SOM of ~50M users
● Designed wireframes and user flows to visualize the end-user experience, defined core features focused on real-world connections.
● Created an initial pitch deck, and a product requirements document, along with a product timeline to boost this project.
ACTIVITIES
Freelance Remote
Video Editor Dec 2022 – Jul 2024
● Led a content team serving 25+ global clients for 1.5 years, managing lead pipelines and driving revenue growth.
● Executed content strategies to scale personal brand (@ ) to monthly views. Started a new podcast (@builtforbharat) from scratch.
● Leveraged Adobe Premiere Pro, After Effects, and DaVinci Resolve for high-quality visual storytelling and production
Film Making Club - BITS Pilani Pilani, RJ
Coordinator of Live Events and Publicity, Oasis 2024 Jul 2024 – May 2025
● Responsible for all shoots during Oasis 2024, managed a team of 30+ videographers, scriptwriters, agencies.
● Written, directed, and edited the Oasis 2024 curtain raiser.
● Led the editing team for Oasis 2024 after-movie, and released a polished and professional video for the official fest page.
AWARDS AND RECOGNITION
NTSE Scholar - NCERT Nov 2019
● Received the award of scholarship letter from National Talent Search Scheme under NCERT.
● Cleared both level I and level II examinations with under 1500 AIR.
● Awarded a monthly scholarship of INR 2000 under the National Talent Search Scheme.
LANGUAGES
English(working proficiency), Hindi(working proficiency), Marathi(Native)
[CANDIDATE] PATILVivek [CANDIDATE]
[EMAIL REDACTED]+91 97293 8104697293 81046 [CANDIDATE]-[CANDIDATE]-pm
[CANDIDATE]-[CANDIDATE]-pm

Redacted: name ×6, email ×1, profile url ×1

Interview brief

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Email draft

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Audit trail (3)

9/29/2026, 11:36:15 AMsystemanalysis completed{"PM_score":32,"SPM_score":28}
9/29/2026, 11:36:15 AMsystemrole assigned best fit{"role":"PM","PM_score":32,"SPM_score":28}
9/29/2026, 11:29:31 AMsystemcv ingested{"file":"19_vivek_patil.pdf","role":"AUTO","redactions":{"name":6,"email":1,"profile_url":1},"name_detected":true}