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

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.
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.
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
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.
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.
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.
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
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
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
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
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
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
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.
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.
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.
Credential ID
2125990
Certifications & education
Credentials that back the craft.
- CSPO®: Certified Scrum Product OwnerScrum Alliance
- Mastering Claude Cowork & AI AgentsCourse
- HIPAA Compliance EssentialsGreat Learning
- Google Analytics CertificationGoogle
- Business Analysis ProcessCourse
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.
Palkin Gupta · CSPO® Product Owner · 2026
