Work

Case studies

The write-ups behind the numbers.

From 50 people and spreadsheets to a self-running lead platform
B2B PlatformAutomationData Systems0→1

From 50 people and spreadsheets to a self-running lead platform

As sole PM, I turned a manual, spreadsheet-driven lead operation into a configuration-led platform that cut delivery time from 1–2 hours to under 5 minutes, reduced the ops team by ~75%, and scaled to 600+ clients and 78M+ distribution records.

1–2h → 5m
client delivery time
~75%
fewer people needed to run ops (40–50 → 10–12)
Building a content & growth platform from scratch
0→1CMSGrowth / SEOStructured Data

Building a content & growth platform from scratch

I led a 0→1 education platform (website, CMS, structured data, student tools and technical SEO) that doubled indexed pages to 300K+, cut content processing from 4 hours to 10 minutes, and grew monthly sessions to a peak of 339K.

150K → 300K+
indexed pages
339K
peak monthly sessions (June)
RankFlowHQ: building a grounded AI SEO product, solo
Generative AI0→1AI Product ManagementB2B SaaS

RankFlowHQ: building a grounded AI SEO product, solo

I designed, built and launched RankFlowHQ on my own: a Generative AI workflow that takes a keyword to a cited, publish-ready article. The product decisions were about trust, time-to-value and positioning, not just prompts.

0→1
idea to live product, solo
6
pipeline stages, keyword to publish
ReStock: an order list a shop owner can argue with
0→1Decision SystemsEvalsB2B SMBExplainability

ReStock: an order list a shop owner can argue with

I built an explainable replenishment engine that turns four CSV exports into a daily order list with a reason on every line. On a simulated 120-SKU store it matches the best spreadsheet's 98.1% fill rate with 66% less inventory, cuts perishable waste from 45% to 0.4%, and protects 22% more gross margin under a cash cap.

98.1%
fill rate, equal to min–max, with 66% less inventory
45% → 0.4%
perishable waste as a share of purchases
Agent Store: an e-commerce store that AI agents can shop, run and improve
AI AgentsMCPExperimentationE-commerceTrust & Safety

Agent Store: an e-commerce store that AI agents can shop, run and improve

I built a store designed for the next type of customer and operator: AI agents. Shopping agents buy through a discoverable JSON API, operator agents run the store via MCP and tool APIs, and every experiment is a Thompson-sampling bandit that optimises profit, with a full audit log of every action an agent takes.

21% → 26.8%
simulated conversion, baseline vs. after the first concluded experiment
+26%
revenue per session after 5 optimizer cycles (simulated)
HarshOnRoads: planning, personas and PRD for a trip planner people can trust
AI Product ManagementProduct PlanningUser PersonasPRD0→1

HarshOnRoads: planning, personas and PRD for a trip planner people can trust

How I planned and built HarshOnRoads end to end: the user personas, the problem framing, a PRD for the AI trip planner, the decision to put verified data before AI, the tool roadmap, and how my own travel content became the distribution channel.

10+
live planning tools and calculators
2
plan languages (English & Hindi)