Bengaluru, India

Building What's Next.

Product thinking, engineering and AI, to launch faster and scale with confidence.

Selected work

Learn With AI

Speak a new language, get AI feedback — offline.

2026

A mobile product for practising spoken language across 100+ languages, with on-device speech recognition and AI feedback a phrasebook can't give.

  • Offline speech-to-text with Vosk, falling back to the Android recogniser when it helps
  • Conversational AI responses served through AWS Lambda, kept optional so the core loop works unplugged
  • Translations cached to disk; state held in StateFlow and rendered by Compose
  • Kotlin
  • Jetpack Compose
  • MVVM
  • Coroutines / Flow
  • Vosk
  • AWS Lambda
View source

MedDocs

Patient records and medical files, offline-first.

2026

A clinical records product for patients and the scans, images and PDFs that come with them — built entirely on-device for clinics that can't assume connectivity.

  • Side-by-side medical image comparison with independent rotation, zoom and save-back at full resolution
  • Attachments across images, PDFs, video and documents, handed off to the right external app
  • Soft-delete recycle bin, multi-field search and an active-patients-first sort that matches how wards actually work
  • Kotlin
  • Room
  • MVVM
  • Coroutines / Flow
  • Glide
  • PhotoView
View source

All projects, tools and videos

Open to collaborate on

Technology product strategy

Deciding what a platform should become — then holding that direction through architecture, roadmap and trade-offs.

What it looks like

  • A vague "modernise" mandate turned into a sequenced platform bet
  • Clear calls on where to build, where to buy, where debt is worth carrying
  • Roadmaps that survive contact with engineering

What I bring

Years between engineering and business on enterprise platforms, accountable to both — enough hands-on depth to tell an excuse from a reality.

AI-assisted building

Getting working software into the hands of people who were never going to write it themselves — in an afternoon, not a quarter.

What it looks like

  • A spreadsheet ritual turned into a small, real tool
  • A product idea prototyped far enough to test with real users
  • Non-engineers taught to build and ship their own utilities

What I bring

A product manager who writes the prototype instead of specifying it, and knows which corners are safe to cut.

Supply chain & operations analytics

Simulation, optimisation and clustering applied to inventory, routing and production planning — modelling that turns argument into decision.

What it looks like

  • Inventory policy set by simulation, not habit
  • Routing and milk-run decisions backed by a model of the actual roads
  • Lead-time and capacity models that make delivery promises defensible

What I bring

Formal training in supply chain analytics, plus years building these models in Python and Excel for real plants and networks.

From the channel

Writing

All posts

Have something worth building?

Consulting, collaboration, or a problem worth solving — one minute, straight to me.

Get in touch