Product leadership shaped by systems thinking, 0→1 building, growth and platforms.
I am a product leader with 12+ years of experience across consumer products, D2C commerce, marketplaces, search, discovery, growth and platform systems.
My work tends to sit where customer behaviour, technology and business outcomes intersect — from launching 0→1 products to building reusable platforms and improving marketplace discovery and conversion.
The common thread has been turning ambiguous product problems into systems that compound.
Systems thinking came before product thinking.
I began in engineering and quality assurance, where I learned to debug failures, trace root causes and understand how systems break.
When I moved into product, that habit stayed with me. I rarely see a feature in isolation — I look at the customer journey, technical dependencies, operating model and business outcome around it.
Debugging taught me to look past symptoms. Product taught me to solve the cause earlier.
The scope kept expanding.
From solving product quality problems to owning growth, platforms, marketplace systems and AI-enabled workflows.
Product Quality
Learned how reliability, usability and edge cases shape trust and adoption.
Consumer Products
Moved from quality ownership into product ownership across mobile and content experiences.
0→1 & Growth
Expanded from feature delivery into launching products and building acquisition, activation, discovery and conversion systems.
Platforms & Systems
Shifted from optimizing individual products to building reusable infrastructure and cross-team operating models.
Marketplace & AI Direction
Applied the same systems lens to search, discovery, marketplace growth and AI-enabled workflows.
Shared metrics create more alignment than organisational authority.
Most of my work has required aligning Engineering, Design, Analytics, Operations, Growth and Business teams that did not report to me. I have learned that shared outcomes, explicit sequencing and a clear product narrative create more durable alignment than reporting lines alone.
01
Shared metrics
Align teams around one causal metric tree so local optimisation does not override the business outcome.
02
Clear sequencing
Make dependencies explicit and remove upstream constraints before optimising downstream experiences.
03
Product narrative
Connect technical and foundational investments to customer and business outcomes so stakeholders understand why the work matters.
Applying systems thinking to AI products.
I am now exploring where AI meaningfully improves decisions, accelerates learning and removes friction from customer or product workflows. My focus is on reliability, evaluation, human judgment and practical product value rather than novelty alone. Building toward AI-native product systems where models are part of the core product architecture, not an added feature.
A recent production system enriched 173,517 company records in 70 hours, replacing 352 hours of monthly manual effort with models for probabilistic judgment, deterministic systems for validation and humans for ambiguous cases.
That work now spans three different AI product problems:
- —operational AI at scale through the Company Enrichment Pipeline
- —context-governed generative systems through the Personalized Content Writer
- —AI-assisted 0→1 execution through SpeedLens
SpeedLens, a Chrome productivity extension for heavy-reading Indian professionals, has reached 140+ installs with zero paid acquisition.
Building it extended my execution from product strategy into working software, payments and distribution.
Mobile product rebuild, app quality and ASO
Audience growth, SEO, content platforms, and large-scale event experiences
EatSure 0→1, D2C growth, personalization and platform architecture
Discovery-to-apply growth, SEO infrastructure, search performance and marketplace conversion
Applying my systems, growth and platform experience to AI products — particularly where probabilistic systems, human judgment and product reliability intersect.
Currently exploring Senior, Principal and Group Product roles.
Across consumer platforms, marketplaces, search & discovery, growth, personalisation and AI products.