Dashboard / Candidate
Aditya Nair
Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 07_aditya_nair.pdf
Private: squad_2@pg27.mesaschool.co · no phone found
Applied-role score
12/100#33 of 34 PM applicants
PM score
12/100SPM score
7/100Current status
AnalysedBelow shortlist (AI suggestion)
Your decision
1
Why they fit
No criterion reached a clear-evidence score (3/5 or higher) on the PM rubric.
2
Where they fall short
- Problem -> Change -> Result −20 pts
The CV lists software and features developed to automate workflows, but does not identify a concrete prior problem or friction. Furthermore, it lacks visible, measurable results linking the candidate's specific actions to operational or business outcomes.
- Evidence-Led Decisions −20 pts
Evidence is not present. The CV does not show any instances where a decision was prioritized, stopped, or altered based on data, customer feedback, or post-mortems.
- Builds Repeatable Ways of Working −20 pts
Evidence is not present. While the candidate built software systems, there is no evidence of creating repeatable processes, templates, operating methods, or review frameworks that were adopted or reused by others.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Independent Decision Ownership | 30% | 0/5 | 0.0/30 | The CV contains no evidence of independent decision ownership. There are no examples detailing decisions made under uncertainty, trade-offs evaluated, or consequential calls owned without senior direction. | Evidence not present in the CV. |
| Problem -> Change -> Business/Operational Result | 20% | 1/5 | 4.0/20 | The CV lists building and deploying systems to automate business operations, but provides only indirect evidence. It completely lacks quantified operational or business metrics demonstrating measurable impact or problem resolution. |
|
| Evidence-Led Prioritisation and Reversal | 20% | 0/5 | 0.0/20 | There is no evidence of evidence-led prioritisation or decision reversals. The CV lists technical features and projects without explaining how data guided choices or changed previous directions. | Evidence not present in the CV. |
| Creates Systems Others Run | 15% | 1/5 | 3.0/15 | There is indirect evidence of modeling workflows and implementing multi-unit software systems. However, there is no evidence of creating repeatable team processes, operating rhythms, or organizational frameworks that others adopted and run. |
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| Multi-Party Resolution Under Pressure | 15% | 0/5 | 0.0/15 | The CV contains no evidence of driving multi-party conflict resolution under pressure, managing incidents, handling escalations, or conducting post-mortems. | Evidence not present in the CV. |
| Total | 100% | 7 | The candidate has a background primarily focused on software engineering and technical product development in robotics and ERP software. Across all criteria in the Senior Product Manager rubric, the CV provides minimal to no evidence of decision ownership, evidence-based prioritization, system creation for teams, crisis resolution, or quantified business impact. | ||
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)
- “Designed, developed, and deployed a full-scale enterprise ERP system automating procurement,accounting, sales, inventory, production and transfers across multiple business units.” · Problem -> Change -> Result
- “Worked directly with operations, finance, and sales teams to define requirements, model workflows, and translate business needs into production-ready software.” · Carries Ambiguous Problems Through to Closure
- “Worked directly with operations, finance, and sales teams to define requirements, model workflows, and translate business needs into production-ready software.” · Gets to the Source Before Designing the Fix
- “Worked hands-on with ROS2 nodes, simulators, and physical vehicles, integrating software directly with real-world robotic systems in warehouse environments.” · Gets to the Source Before Designing the Fix
Outcomes stated in the CV
- Designed, developed, and deployed an enterprise ERP system spanning procurement, accounting, sales, inventory, production, and transfers.
- Brought a vision-based autonomous system for industrial vehicles from MVP to production-ready deployment.
- Published research on 'Organization Security Framework - A Defensive Mechanism' at the International Conference on Sustainable Expert Systems (ICSES - 2022).
Anonymised CV (exactly what the AI saw)
Product Manager ⋄ Bangalore ⋄ OBJECTIVE Product-oriented Software Engineer with 2+ years of experience building and scaling intelligent, data-driven products across AI, robotics, and enterprise systems. Proven track record of leading products end-to-end from discovery, PRD development, and roadmap definition to agile execution and iterative optimization. Strong expertise in AI systems, generative AI applications, and analytics-driven decision-making. Adept at translating complex technical capabilities into customer-centric solutions that align business objectives with scalable engineering execution. Passionate about building impactful AI-powered products that drive measurable outcomes. EXPERIENCE Software Product Developer, March 2025 – Present 916 Coco Brand Pvt Ltd Ernakulam, India • Designed, developed, and deployed a full-scale enterprise ERP system automating procurement,accounting, sales, inventory, production and transfers across multiple business units. • Worked directly with operations, finance, and sales teams to define requirements, model workflows, and translate business needs into production-ready software. • Built end-to-end inventory, inter-unit transfer, and processing workflows with real-time tracking, variance detection and automated stock and ledger updates. • Implemented core accounting and compliance features including ledgers, vouchers,financial statements, taxation and branch-level profitability reporting. • Developed real-time dashboards, reports, and notification systems enabling leadership to monitor operational and financial KPIs in a single platform. • Currently building AI-driven forecasting and analytics modules to improve demand planning, inventory optimiza- tion and operational decision-making. Software Engineer - Teleoperations (Research and Development), July 2023 - Jan 2025 Controlone AI Bangalore, India • Contributed to building an operating system for slow-moving industrial vehicles (forklifts, BOPT, and similar equipment) to enable driverless and teleoperated warehouse automation. • Developed a web application to monitor and operate the physical AI agent, enabling real-time vehicle telemetry, live video streaming, and low-latency control inputs for remote operators. • Implemented text-to-text and voice-based interactions including voice-to-text, text-to-voice, and voice-driven LLM- powered operations to simplify vehicle control and task execution. • Built a vision-based autonomous system for industrial vehicles, taking it from MVP to production-ready deploy- ment with reliable perception and decision-making capabilities. • Worked hands-on with ROS2 nodes, simulators, and physical vehicles, integrating software directly with real-world robotic systems in warehouse environments. • Designed and enhanced human–vehicle interaction systems ensuring safe, responsive, and intuitive teleoperation and assisted-autonomy scenarios. • Collaborated on evolving the platform from traditional robotics control to AI-driven agent architecture supporting scalable warehouse deployment. • Integrated ROS2-based automation pipelines with backend services and databases to support real-time monitoring, analytics, and operational visibility. [CANDIDATE] NAIRAditya [CANDIDATE] [EMAIL REDACTED] +91 98222 3941598222 39415 [CANDIDATE]-[CANDIDATE]-pmlinkedin.com/in/[CANDIDATE]-[CANDIDATE]-pm EDUCATION Bachelor of Technology in Computer Science and Engineering 2019 - 2023 Amrita Vishwa Vidyapeetam, Amritapuri, Kerala. SKILLS Product Management Product discovery, PRD creation, Requirements gathering, Feature prioritization, Roadmapping, Agile (Scrum), Sprint planning, Stakeholder management, KPI tracking, Product analytics, Market & user research AI Product Generative AI applications, AI feasibility analysis, Responsible AI, AI product lifecycle, AI use case development Software Development SDLC, System design fundamentals, REST APIs, Backend architecture Programming Python, JavaScript, C Artificial Intelligence Machine Learning, Computer Vision, Model evaluation basics Web Technologies React.js, Node.js, Express.js, HTML, CSS Database SQL, MongoDB Cloud AWS UI/UX Figma, Adobe XD CERTIFICATIONS IBM AI Product Manager Professional Certificate. – IBM Coursera Certificate Link Microsoft AI Product Manager Professional Certificate. - Microsoft Coursera Certificate Link Product Design and UX/UI Fundamentals. - Microsoft Coursera Certificate Link PROJECTS Intelligent Demand Forecasting Inventory Optimization Platform. Developed an AI-driven forecasting and analytics platform focused on demand planning and inventory optimization. Implemented scalable backend services and data pipelines, integrated machine learning models for time-series forecasting, and built interactive dashboards for real-time insights. Applied AI techniques to improve operational decision-making, showcasing strong product development and software engineering capabilities. (Git Link) Surveillance Using Swarm of Drones. Developed an algorithm for a surveillance system using a swarm of drones in a 2D simulation, inspired by the cooperative behavior of social insects. Leveraged swarm intelligence to create a decentralized and self-organizing group of UAVs. Explored applications in various fields like agriculture, construction, and search rescue. Demonstrated expertise in swarm robotics and simulation. (Git Link) Organization Security Framework. Designed and implemented an organization-wide cybersecurity framework following extensive research, addressing end-to-end security requirements. The system included an email client for spoofed email classification, a network-level web application firewall (WAF) with detailed logging of suspicious requests, and a secure password generator and manager. The research and system design were consolidated and published as a technical paper, demonstrating strong capabilities in security research, system architecture, and applied implementation.(Git Link) Instagram Fake Account Detection. Developed a machine learning and data science project for identifying fake Instagram accounts through supervised classification techniques. Performed data preprocessing and feature engineering on social media account attributes, trained and evaluated multiple ML models, and deployed the best- performing model as a web application for real-time inference. Showcased end-to-end ML development, backend integration, and model deployment skills. (Git Link) PUBLICATIONS Organization Security Framework - A Defensive Mechanism. International Conference on Sustainable Expert Systems (ICSES - 2022) Link
Redacted: name ×6, email ×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, 11:35:36 AMsystemanalysis completed{"PM_score":12,"SPM_score":7}
- 9/29/2026, 11:35:36 AMsystemrole assigned best fit{"role":"PM","PM_score":12,"SPM_score":7}
- 9/29/2026, 11:29:28 AMsystemcv ingested{"file":"07_aditya_nair.pdf","role":"AUTO","redactions":{"name":6,"email":1},"name_detected":true}