Product capabilities, with evidence.
My strongest range is growth and monetization, evaluated AI workflows, product strategy, and data-informed delivery. Each area is tied to professional outcomes or clearly labelled personal build proof.
Evidence across contexts.
- 85%
- NL-to-SQL accuracy
- Golden-dataset evaluation at PRISM
- 6 teams
- Running their own analysis
- Adoption of the analytics agent at PRISM
- +15%
- Trial-to-paid
- Web-to-app subscription migration at SplashLearn
- INR 175 Cr
- Aqualogica run rate
- Roughly $21M a year on a site I owned at Honasa
AI products and workflow automation
Turn business questions and repetitive operating work into evaluated AI workflows.
Evidence
At PRISM I shipped a two-agent natural-language-to-SQL workflow that reaches 85% accuracy on a golden dataset of business queries, now used by six teams. I am building a general-manager operations agent across five functions, in pilot at 40 UK and Europe properties, against efficiency and accuracy criteria I defined.
Read the evaluated AI workflow case- Agentic workflows
- LLM evaluation and benchmarking
- Golden-dataset evaluation
- Text-to-SQL
- RAG
- Prompt design
- Release validation
Growth, monetization, and conversion
Find leverage in customer journeys and turn it into conversion, subscribers, and revenue.
Evidence
Pricing transparency and a dynamic fee module at PRISM, Android subscriber growth and web-to-app migration at SplashLearn, and homepage, search, and referral funnels at Honasa. The levers differ; the method of finding them does not.
Read the mobile growth case- Pricing and fees
- Subscription growth
- Funnel analytics
- Experimentation
- Referral and acquisition systems
- Retention and activation
- D2C ecommerce
Product strategy and delivery
Move ambiguous opportunities from a decision to a launch with teams aligned around the customer and business.
Evidence
Across US consumer pricing and conversion, Android subscriber growth, and multi-brand ecommerce systems, I have set roadmap, tradeoffs, launch conditions, and stakeholder alignment, and owned deployment and release validation for the AI systems I ship.
Review product ownership by role- Roadmapping
- GTM and launch
- PRDs and specs
- Release ownership
- Regulatory delivery
- Stakeholder alignment
Data fluency and technical collaboration
Work fluently with the systems, instrumentation, and analysis that make product decisions defensible.
Evidence
A computer science degree, SQL and Python in daily use, and API and event architecture designed with engineering to support one million transactions a day at Honasa. In Coach I write the product myself across three platforms.
See technical delivery in Coach- SQL
- Python
- Product analytics
- Data pipelines
- APIs and event architecture
- Instrumentation
Tools I work in.
- AI and data
- LangChain, LangGraph, RAG, Vector databases, SQL, Python, Golden-dataset evaluation
- Analytics and BI
- GA4, Mixpanel, CleverTap, MoEngage, Looker, Power BI, Metabase
- Build and design
- Figma, JIRA, Cursor, Claude, Codex, Lovable, Xcode, Android Studio