APM portfolio
Research notes, clean metrics, soft launch energy.
Open to: APM · Associate PM · Product Manager · AI PM · SaaS PM
AI products + user empathy + data + shipping discipline
Turning messy user problems into focused AI-powered product bets.
I'm a Product Lead with 3+ years of building digital products people actually want to use. My work sits at the intersection of AI-powered features and deep user research — finding the real problem before writing a single spec. I care about shipping things that make a measurable difference, not just things that look good in a deck.
- 2+
- years shipping products
- 10+
- products delivered
- 4
- live AI products built solo
Ask better questions before building prettier answers.
"Tiny friction, big drop-off."
Interview insightSummarize, predict, personalize, automate.
I like product work where the answer is not obvious yet: listening to users, finding the sharpest problem, sizing the opportunity, and helping teams choose what to build next.
Selected work
Case studies built for APM interviews.
ShopFloor AI — AI-powered production tracking for manufacturers
Identified the gap in manufacturing visibility tools — shop floor operators lack real-time production tracking, inventory awareness, and a natural-language way to query floor status. Designed and shipped an AI-powered MES with voice, Kanban, and live inventory tracking.
- Built a Kanban production board with drag-and-drop work orders across Queued, In-Progress, QC, and Done stages — giving plant operators a single real-time view of the shop floor.
- Designed a bilingual AI assistant (Hindi + English) for natural-language floor queries — 'Aaj kitne orders pending hain?' — making the tool accessible to operators regardless of language preference.
- Shipped real-time inventory tracking with auto-deduction on order completion and live reorder alerts, reducing the risk of production stoppages from stockouts.
- Included a live demo mode (no sign-up required) with real manufacturing data, lowering the barrier to evaluation for potential users.
Live · AI-Powered MES · Voice in Hindi & English · Zero sign-up demo
Open live app ↗
ChurnGuard AI — AI-powered churn prediction and proactive retention
Identified why SaaS companies lose revenue to churn they could see coming — lagging indicators, reactive support, and no automated save workflows. Designed an AI system that scores customer health in real time and triggers proactive retention plays before cancellation intent becomes a cancellation event.
- Defined a customer health scoring model combining behavioral analytics (product usage, login frequency, feature adoption) with CRM signals to surface at-risk accounts before they churn.
- Designed agentic retention workflows using n8n — triggered automatically when a customer's health score drops below threshold, routing to the right save play (outreach, discount, success call) without manual intervention.
- Specified proactive retention metrics: save rate, churn rate reduction, time-to-intervention, and health score accuracy — tied directly to ARR impact.
- Scoped the product from signal detection through workflow orchestration to outcome tracking, covering the full retention loop in one system.
AI-driven · Churn Prediction · Proactive Retention · Agentic Workflows · n8n
Open case study Open PRD
PM DocForge — AI-powered PM document generator
Designed and shipped an AI web app that transforms a brief product description into a full suite of PM documents — PRD, Design Doc, Technical Spec, GTM Brief, User Stories, and Release Notes — in under 60 seconds, no signup required.
- Identified the core problem: writing a single PRD takes 2–6 hours; existing tools require manual editing or enterprise subscriptions.
- Defined a frictionless two-step flow (Describe → Choose Docs) powered by Claude AI with instant DOCX/PDF exports.
- Set 90-day success metrics: >65% activation rate, 500+ docs/week, <90s time-to-download, NPS > 45.
- Scoped V1 in/out boundaries — no accounts, no collaboration, no integrations — to ship fast and validate core value.
Target: 500+ docs generated per week with NPS > 45 by end of Phase 3
Open PRD case study
PolicyPilot — AI-first health insurance marketplace
Diagnosed why AI insurance assistants like PolicyBazaar's PB Buddy stall before purchase, then specified a smoother product where every recommendation is actionable and the journey from first question to active policy completes in one flow.
- Identified three root causes of drop-off: dead-end plan recommendations (plain text, no buttons), fragmented intake, and no chat-to-checkout handoff.
- Designed a 5-stage continuous flow — Discover → Advise → Decide → Buy → Serve — where context carries forward and nothing is re-entered.
- Specified an actionable-recommendation contract: every plan rendered as a card with View / Buy buttons, making dead-end recommendations structurally impossible.
- Defined success metrics: >40% recommendation-to-action rate, >60% flow completion, 2–3× chat-to-purchase conversion in under 10 minutes.
Target: 2–3× baseline chat-to-purchase conversion · >55% assistant containment
Open PRD case study
askDr.ai — RAG-powered health information assistant
Identified why generic AI chatbots fail at health queries — hallucinations, no citations, no safety guardrails — then designed and shipped a grounded health assistant using Retrieval-Augmented Generation, verified medical sources, and a safety-first architecture. Built solo in 4 days at $0 on free tiers.
- Chose RAG over a plain LLM to make every answer source-traceable: responses cite the specific openFDA drug label or MedlinePlus guideline they came from, making hallucination structurally constrained.
- Designed safety-first architecture: emergency queries (chest pain, self-harm, overdose) bypass RAG entirely and return crisis guidance before any AI processing begins.
- Instrumented a full Mixpanel funnel (Page View → Category → Message → Response); 28.57% drop-off at landing drove the decision to add suggested starter questions and a clearer CTA.
- Built and ran a 12-test automated eval suite — initial 7/12 score exposed missing safety patterns; fixed before launch and shipped at 12/12 across retrieval quality, grounding, safety, and hallucination resistance.
12/12 eval suite · Safety-first RAG · Shipped in 4 days · $0 infra cost
Open case study Live app ↗
askDr.ai — Product Requirements Document
Full PRD for a RAG-powered health information assistant — from problem statement and user personas through P0/P1 requirements, safety & compliance rules, success metrics, data architecture, 4-phase release plan, and risk register.
- Defined three user pain points (hallucinating AI, information overload, no safety net) and two primary personas — the Informed Patient and the Caregiver — with explicit anti-personas to keep scope tight.
- Specified P0 requirements enforcing RAG grounding, a pre-RAG emergency screen, no-diagnosis policy, and mandatory citations on every response as non-negotiable trust constraints.
- Set five success metrics with targets: grounding rate >70%, safety pass rate 100%, engagement >3 messages/session, funnel conversion >30%, eval score 12/12.
- Documented a 4-phase release plan (Medicine RAG → All Categories → Vision + Streaming → Analytics + Eval) with clear ship criteria per phase and a risk register covering critical, high, and medium risks.
Shipped · All P0 requirements delivered · 12/12 eval · Live at ask-dr-ai.vercel.app
Open PRD
WhatsApp SWOT analysis and Smart Priority Inbox strategy
Analyzed WhatsApp's strengths, weaknesses, opportunities, and threats, then proposed AI-first usability improvements to reduce message overload.
- Identified message overload, limited search, and chaotic groups as core usability gaps.
- Recommended AI chat summarization, smart priority inbox, and context-based notifications.
- Defined metrics like meaningful conversations, time to find, response rate, and notification fatigue.
Expected outcome: 20% drop in notification fatigue score over one quarter
Open PDF case study
Cvent product teardown and enterprise event SaaS analysis
Deep-dived into Cvent's event management platform, pricing model, user personas, activation friction, AI strategy, and enterprise event workflows.
- Mapped the end-to-end event manager journey across onboarding, registration, go-live, onsite, and analytics.
- Identified friction in 3-step publishing, module complexity, email tooling, pricing opacity, and India-market gaps.
- Prioritized fixes like Smart Publish, event-type onboarding, transparent pricing, and CventIQ opportunities.
Target: Cut time-to-first-event under 30 min for new enterprise users
Open PDF teardown
NUA onboarding case study and subscription conversion strategy
Studied NUA's app onboarding, period tracker activation, subscription discovery, loyalty loop, and marketplace-to-app retention gap.
- Found friction in the 10+ question plan quiz, empty tracker state, spend-only loyalty, and buried subscription CTA.
- Mapped impact to MRR, subscription conversion, tracker activation, Comfort Club progression, and pause/cancel rates.
- Recommended surfacing subscription earlier, progressive onboarding, engagement-based rewards, and symptom-led discovery.
Expected outcome: +12% subscription conversion within 2 sprints
Open PDF case studyJob Application Tracker — stay on top of every opportunity
A focused web app to track job applications end-to-end — add roles, log status updates, set follow-up reminders, and see your pipeline at a glance.
- Built to solve a real personal pain point: losing track of applications across dozens of companies.
- Clean dashboard showing pipeline stage (Applied → Interview → Offer → Rejected) per application.
- Live and free to use — no setup, just sign in and start tracking.
Live product · Try it at job-tracker-nu-five.vercel.app
Open live app ↗Live AI builds
Products I've shipped and put online.
ShopFloor AI
AI-powered production tracking for manufacturers — Kanban work order board, bilingual voice assistant (Hindi + English), and real-time inventory tracking with auto-deduction and reorder alerts. Live demo with no sign-up required.
View live project →askDr.ai
RAG-powered health assistant grounded in openFDA drug labels and MedlinePlus guidelines. Every answer cites its source. Emergency queries trigger a safety screen before any AI processing. Medicine image recognition included. Built in 4 days at $0.
View live project →ReturnReady
AI-powered restart kit for women returning to work after career breaks. Generates a personalised LinkedIn summary, interview prep answer, and 30-day action plan in under five minutes — free, no login required.
View live project →PM DocForge
Describe your project once and get a full doc suite — PRD, design doc, technical spec, GTM brief, user stories, and release notes — in under a minute. Exports to DOCX, PDF, or Markdown. No login required.
View live project →Job Tracker
Track every job application in one place — log status, set follow-ups, and see your full pipeline from Applied to Offer at a glance.
View live project →How I work
A simple product loop.
Frame the problem
Clarify the user, context, pain, business goal, and the decision to be made.
Find the signal
Combine interviews, funnel data, support themes, and competitor patterns.
Choose the bet
Prioritize with impact, confidence, effort, risk, and learning value.
Measure and learn
Define success metrics, guardrails, rollout plans, and follow-up questions.
Career timeline
Where I've worked and what I've built.
Product Lead
Web Spiders Group- Owned end-to-end product delivery for event services apps, CMS platforms, and websites across enterprise clients — CII EXCON, North Star Group, Internet Retailing, and PCOA — managing requirements, stakeholder alignment, timelines, and cross-functional coordination from kickoff to launch.
- Led product lifecycle for Android and iOS applications across multiple client accounts — scoping features, aligning design and engineering, and managing releases end to end.
- Defined and shipped Voice First AI agents for Hindalco and Gajraj Hyundai — translated business needs into agent workflows, prioritised capabilities, and drove client-readiness and handoff.
- Shaped product requirements and delivery for manufacturing industry solutions at Gainwell and Hidromas — spanning discovery, feature prioritisation, design reviews, QA coordination, and production release.
Frontend Developer
The Mainstage Productions- Owned end-to-end product delivery of Pocketxtra — an event management Android app supporting multiple roles — from Figma design through development, QA, and Play Store release.
- Led stakeholder meetings to gather requirements, align on priorities, and communicate delivery progress across the project lifecycle.
Full Stack Engineer
Crio.Do- Built full-stack features using Node.js, HTML5, and web technologies on an ed-tech platform.
- Developed and shipped module-level functionality as part of a structured engineering programme.
Full Stack Developer
Ekosight- Contributed to frontend and backend development for an early-stage product startup.
- Shipped web application features across a 6-month engagement.
Product toolkit
Skills I bring to the team.
Discovery
User interviews, problem statements, journey maps, opportunity sizing.
interviews
JTBD
journeys
Analytics
Funnels, cohorts, event taxonomy, SQL basics, AI feature measurement.
funnels
cohorts
AI evals
Execution
PRDs, acceptance criteria, AI workflow specs, roadmap tradeoffs, stakeholder updates.
PRDs
roadmaps
tradeoffs
Design sense
Wireframes, usability review, information architecture, copy clarity.
wireframes
IA
UX copy
Credentials
Certifications.
Open to: APM · Associate PM · Product Manager · AI PM · SaaS PM
Let us talk
Product Manager, open to meaningful product conversations.
I work across product discovery, execution, and AI-enabled experiences. Always up for a good product conversation — reach out via email or connect on LinkedIn.