Open to product roles

Palkin
Gupta

CSPO® Product Owner building AI-powered enterprise SaaS — from LLM + RAG systems, embeddings, and vector search to intelligent workflows and product releases Fortune 500 customers rely on.

GenAI & LLM Systems · RAG · Embeddings & Vector Search · AI Workflow Automation · Enterprise SaaS

Abstract layered visualization of product roadmaps, AI workflow nodes and connected delivery systems

5+

Years in product

8+

Enterprise releases

15+

Agile delivery cycles

GenAI

LLM + RAG systems

Open to roles

Product Owner · Product Manager · Business Analyst

The roles I'm actively exploring next, and the core strengths I bring to each one.

Summary

Product thinking, delivered end to end.

CSPO®-certified Product Owner with 5 years of experience across AI-powered enterprise SaaS, GenAI, and digital products. Skilled in product discovery, roadmap planning, backlog prioritization, and cross-functional delivery of systems that use LLMs, RAG, embeddings, vector search, re-ranking, and intelligent automation. Progressed into de facto product ownership for an enterprise AI search platform, delivering 8+ releases and partnering with Fortune 500 customers.

Discovery → roadmap → AI release
LLM + RAG + vector search systems
Fortune 500 stakeholder partnering
Requirements that engineers can build

AI engine

How I build AI into products.

An interactive view of the pipeline I own — from framing the use case to grounded generation, guardrails, and cost control. Select a stage to see the practices behind it.

Discover & Frame

Is AI the right answer?

Start from the user problem and business metric, not the model. Frame the AI use case, define success criteria, and kill ideas that don't need GenAI.

AI Use-case DiscoveryProduct MetricsPRDs

Best practices I enforce

  • Use-case scoring on value, feasibility, and risk
  • Baseline metrics before any model is chosen
  • Human-in-the-loop decisions defined up front
LLM Models RAG Embeddings Vector Databases Re-ranking Tokenization Clustering APIs & Integrations MCPs Cost Optimization Secure & Reliable AI

Career highlights

Outcomes, not activity.

A snapshot of the measurable impact behind five years of product and business analysis work, including AI-powered enterprise systems.

GenAI

LLM + RAG systems delivered

Owned product requirements for AI-powered search, retrieval, and workflow automation that combine LLMs, embeddings, vector databases, and re-ranking.

30%

Fewer requirement gaps

Led discovery and user research with clients and stakeholders, translating ambiguous asks into clear, prioritized product specifications.

25%

Less requirement rework

Raised the bar on acceptance criteria and engineering handoffs across AI healthcare and Web3 product lines.

20%

Faster release velocity

Sharper backlog refinement, sprint planning and requirement clarity across 8+ enterprise releases of an AI search platform.

Recognized for delivery impact

Awards reflect a track record of shipping reliable AI-powered products, rallying cross-functional teams, and turning ambiguity into momentum.

Rewards & recognition

Star Performer of the Month

Jul 2023

Star Performer of the Month

Feb 2024

Key Contributor Award

Mar 2024

Products

Platforms I've helped shape.

Select a product to see the problem space and what I owned.

AI Healthcare

Veulo

AI-powered, HIPAA-compliant healthcare platform. Defined compliance-oriented requirements and acceptance criteria for US healthcare workflows, supporting secure, audit-ready releases.

  • Shaped compliance-first requirements for HIPAA workflows and audit-ready healthcare releases.
  • Translated clinical and operational needs into acceptance criteria, user stories and release specs.
  • Partnered with Engineering, QA and Solution Architects to deliver secure, regulated features.
Compliance requirementsWorkflow designRelease readiness

Product Analytics

Data-led decisions that move product metrics.

I don't just ship features — I define what success looks like, instrument it, and iterate on the numbers. From event taxonomy to retention cohorts, analytics is baked into every product decision.

Analytics stack

Mixpanel

Behavioral analytics & cohorts

Track user flows, build funnels, and run cohort analysis to understand engagement, drop-off, and retention across the product lifecycle.

Amplitude

Product intelligence & experimentation

Surface behavioral patterns, segment users, and design data-driven experiments that validate hypotheses before roadmap commitment.

Google Analytics 4

Web analytics & attribution

Measure acquisition, traffic quality, and conversion paths to connect marketing and product performance in one view.

PostHog

Session insights & feature flags

Pair session replays and funnels with feature flags to roll features out gradually and validate impact before full release.

Analytics pillars

Hover or tap a pillar to see the metrics I own

Event Taxonomy

Design clean, consistent event and property schemas that scale across platforms.

Metrics & impact →

Event Taxonomy

Event coverage %Schema violationsTracking plan adoption

I own the tracking plan as a product artifact: naming conventions, required properties, and QA gates in the definition of done — so every roadmap decision reads from trustworthy data.

Funnel Analysis

Pinpoint where users drop off and prioritize the fixes with the biggest conversion impact.

Metrics & impact →

Funnel Analysis

Step conversionDrop-off rateTime-to-complete

I break the core journey into instrumented steps, size the leak in revenue or activation terms, and turn the biggest drop-off into a prioritized backlog item with a target delta.

Cohort Retention

Segment users by behavior and time to understand what keeps them coming back.

Metrics & impact →

Cohort Retention

D1 / D7 / D30 retentionWeekly active accountsChurn risk cohorts

I compare behavioral cohorts to isolate the habit-forming action, then shape onboarding and lifecycle roadmap bets around the behaviors that predict retention and renewal.

A/B Testing

Run rigorous experiments with clear success metrics and guardrails.

Metrics & impact →

A/B Testing

Primary metric liftGuardrail metricsSample size / power

I write the hypothesis, primary metric, and guardrails before the build, keep experiments powered, and ship or kill based on evidence instead of opinion in roadmap reviews.

North Star Metrics

Align teams around one outcome that captures customer and business value.

Metrics & impact →

North Star Metrics

North star (weekly value moments)Input metrics treeTeam OKR alignment

I define one north star with a supporting input-metric tree, so every squad can see how their epics ladder up to customer value and company outcomes.

Conversion Optimization

Turn analytics insights into backlog items that improve activation and monetization.

Metrics & impact →

Conversion Optimization

Activation rateTrial-to-paidFeature adoption

I run a continuous insight-to-backlog loop: instrument, diagnose, prioritize by expected impact vs effort, and measure the post-release delta against the baseline.

Skills

Product management, grounded in business analysis.

Explore the toolkit by discipline.

Product StrategyProduct DiscoveryProduct RoadmapsBacklog ManagementFeature PrioritizationProduct LifecycleRelease PlanningProduct MetricsData Analysis

Work experience

Where the work happened.

Expand a role to read the detail behind the impact.

  • Owned product strategy, roadmaps, backlogs and feature prioritization across AI-powered Healthcare and Web3 products, aligning customer needs, business priorities, engineering capacity and product metrics.
  • Led product discovery through user research with clients and stakeholders, translating ambiguous requirements into clear specifications and prioritized solutions — reducing requirement gaps by 30%.
  • Strengthened requirement quality, acceptance criteria and engineering handoffs, contributing to a 25% reduction in requirement-related rework.
  • Drove end-to-end delivery across discovery, requirements, design, development, UAT and release with Engineering, UI/UX, QA and Solution Architects.
  • Defined compliance-oriented requirements and acceptance criteria for US healthcare workflows, supporting secure and audit-ready releases.
  • Identified and prioritized GenAI and AI/ML opportunities — including LLM integrations, RAG, embeddings, vector search, re-ranking, agentic workflows, and intelligent automation — to reduce manual effort and improve user experience.
  • Translated APIs, model endpoints, AI workflows, token budgets, and automation into user-centric requirements and actionable engineering backlogs.
  • Used customer feedback, market analysis, business value, cost impact and technical feasibility to continuously refine the roadmap and improve delivery predictability.
  • Progressed from Business Analyst to Senior Business Analyst / de facto Product Owner, taking ownership of product strategy, roadmap execution, backlog prioritization, requirements and feature delivery for an enterprise AI search platform.
  • Owned the product backlog across 15+ Agile delivery cycles, converting enterprise customer needs into prioritized epics, user stories, acceptance criteria and release requirements for AI search, retrieval, and knowledge-management capabilities.
  • Delivered 8+ enterprise releases, contributing to a 20% improvement in release velocity through better backlog refinement, sprint planning and clearer requirements.
  • Partnered with AI/ML and Engineering teams on vector search, embeddings, content indexing, re-ranking, and search-relevance features that power Fortune 500 knowledge retrieval.
  • Conducted discovery workshops, stakeholder interviews, user research, product demos and requirement validation with Fortune 500 customers.
  • Prioritized 30+ product enhancements using data analysis of customer impact, business value, product strategy, technical feasibility and delivery dependencies.
  • Collaborated with Product, Engineering, UX, QA and technical teams across APIs, workflows, customer journeys, UAT and release planning.
  • Translated complex search, knowledge-retrieval, relevance, and retrieval-augmented generation requirements into customer-focused product capabilities.
  • Authored BRDs, FRDs, PRDs, user stories, acceptance criteria and functional specifications, improving requirement quality and reducing downstream rework.
  • Mentored junior Business Analysts on Agile delivery, user story writing, requirements analysis and backlog management.

CSPO® certification

Certified Scrum Product Owner®

An industry-recognized credential that sharpens how I translate strategy into shipped product value.

Official Certification

Certified Scrum
Product Owner

Issuing Body

Scrum Alliance

Issued Date

10 Dec 2025

Valid Through

10 Dec 2027

CSPO training validates the ability to manage product backlogs, prioritize by value, and align stakeholders around customer outcomes — the same skills behind every roadmap and release I ship.

Backlog RefinementStakeholder ManagementUser StoriesAgile Roadmap

Credential ID

2125990

Verify Credential

Certifications & education

Credentials that back the craft.

Certifications & courses
  • CSPO®: Certified Scrum Product OwnerScrum Alliance
  • Mastering Claude Cowork & AI AgentsCourse
  • HIPAA Compliance EssentialsGreat Learning
  • Google Analytics CertificationGoogle
  • Business Analysis ProcessCourse
Education

2025 — 2027

MBA, Business Analytics

Symbiosis School for Online and Digital Learning

Pune, India · In progress

2017 — 2021

B.Tech, Computer Science Engineering

Shoolini University

Solan, India · GPA 7.6

Contact

Let's talk about your AI product roadmap.

Open to Product Owner and Product Manager roles on GenAI, LLM + RAG, and enterprise AI SaaS products. Happy to walk through discovery, delivery, and AI-system outcomes in detail.

Get in touch

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Palkin Gupta · CSPO® Product Owner · 2026