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
32/100SPM score
28/100Current status
AnalysedBelow shortlist (AI suggestion)
Your decision
1
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.
2
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.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Independent Decision Ownership | 30% | 1/5 | 6.0/30 | The CV lists product internship responsibilities such as defining roadmaps and leading initiatives, but does not provide any concrete examples of consequential decisions made independently under uncertainty. Specific trade-offs, rationale, and standalone ownership without senior oversight are entirely absent. |
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| Problem -> Change -> Business/Operational Result | 20% | 3/5 | 12.0/20 | The candidate provides one clear operational example at Swiggy where they addressed manual research overhead by building a mathematical recommendation model, resulting in an 80% reduction in research time. Further repeated commercial or operational outcomes from deployed products are missing. |
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| Evidence-Led Prioritisation and Reversal | 20% | 1/5 | 4.0/20 | There is indirect evidence of evidence-led prioritization via a mathematical model for supply prioritization. However, the CV contains no instances of using evidence to reverse, stop, or materially change a previously chosen direction. |
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| Creates Systems Others Run | 15% | 1/5 | 3.0/15 | The candidate automated research via a mathematical model, which represents indirect evidence of tooling. There is no evidence of establishing an enduring process, documentation standard, or operational framework that was adopted and run independently by other teams. |
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| Multi-Party Resolution Under Pressure | 15% | 1/5 | 3.0/15 | The CV notes cross-functional coordination and event team management, but these represent standard participation and coordination. There is no evidence of driving multi-party conflict resolution, escalation management, or handling critical failures under pressure. |
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| Total | 100% | 28 | The candidate demonstrates solid early-career initiative with a clear operational result in building a prioritization model during an internship. However, the profile significantly lacks the independent decision-making, evidence-led reversals, organizational systems creation, and high-pressure resolution expected of a Senior Product Manager under this rubric. | ||
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.
4
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
5
Interview brief
Briefs are written when you shortlist a candidate.
6
Email draft
An offer or rejection draft is prepared once you make a decision. Nothing is ever sent without your approval.
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}