Founder, Engineer,
Builder.

I build AI-powered software products from architecture to production. Two years of execution shipping real systems, leading technical teams, and driving zero-to-one product development in India's startup ecosystem. Not a consultant. Not a freelancer. A founder who ships.

Products at Production Scale

Each system below was architected, built, and shipped under Fambience Private Limited. Real users. Real infrastructure. Real decisions.

Ambio ↗
Active · AI Product
Problem
Home décor discovery is fragmented, inspiration-driven, and entirely subjective. Consumers lack a structured way to define, discover, and execute their aesthetic leading to expensive mismatches and abandoned purchases.
System Architecture
AI-powered interior design discovery platform built on a mobile-first web architecture. Multimodal AI pipeline processes visual aesthetics and user preferences to generate personalised design recommendations at scale. Serverless cloud infrastructure ensures elastic scaling.
Technology Stack
React Node.js AI / ML Pipeline Cloud CDN REST APIs
Why It Matters
Augmented reality and AI are converging in the home design vertical. Ambio is positioned at that intersection not as a tool, but as a discovery engine that reduces the gap between inspiration and execution for Indian consumers.
iRehabCare
Shipped · Telehealth
Problem
Rehabilitation and mental health consultations are inaccessible and expensive. In-person dependency creates massive drop-off. Patients in Tier 2 and Tier 3 cities have no credible path to qualified audio-based therapy at scale.
System Architecture
Telehealth audio consultation marketplace connecting rehab specialists with patients through structured session booking, practitioner verification, and subscription monetisation. Full-stack web application with async session management and HIPAA-aligned data handling.
Technology Stack
React Node.js WebRTC (Audio) Subscription Billing Practitioner Verification Secure Storage
Why It Matters
Chronic condition management requires continuity. iRehabCare's subscription monetisation model aligns platform revenue with long-term patient outcomes not one-off bookings. This is scalable, defensible telehealth infrastructure.
Inkfolio ↗
Active · AI Portfolio
Problem
Job seekers struggle to tailor resumes for specific roles and lack professional online portfolios, missing opportunities due to scattered or poorly presented professional information.
System Architecture
AI resume enhancement & automated portfolio deployment platform. Ingests resume data, leverages AI to optimize content for target roles, and generates a personalized, fully deployed portfolio website automatically based on the enhanced data.
Technology Stack
Next.js React AI Integration Automated Deployment
Why It Matters
Your digital presence dictates your opportunities. Inkfolio acts as an automated hiring advocate by instantly transforming static resumes into living, dynamic, and role-optimized portfolios without requiring any code or design effort.

What I'm Building Right Now

Ambio AI-Powered Interior Design Discovery

The primary focus has been building and shipping product experiences end-to-end. I led the AR integration layer, ensuring seamless browser-based augmented reality experiences without requiring app downloads. This included marker handling, video activation flows, and performance optimisation for real-world usage.

On the product side, I have worked closely on defining and executing the roadmap including AI integration strategy, feature prioritisation, user flow optimisation, and building systems that align with long-term platform vision. The work spans from concept validation to implementation and iteration based on user behaviour.

On the infrastructure side, I contributed to scalable architecture decisions including efficient asset delivery, performance-focused frontend builds, and backend structures designed to support rapid growth without proportional cost increases.

Entity Fambience Private Limited
Status Active · In Market
Domain AI Product · Home Design

What I Can Build

High-leverage problem domains where I have shipped working systems not theoretical knowledge.

AI · Systems
AI Product Architecture
Design and build end-to-end AI systems from data pipeline to inference layer to user-facing product. Multimodal, real-time, production-scale.
Full Stack
Full Stack Product Engineering
Ship complete products independently React, Next.js, Node.js, APIs, databases. From zero to deployed. No gaps in the stack.
Infrastructure
Cloud Native Backend Design
Architect serverless infrastructure on AWS / GCP. Designed for elasticity, cost efficiency, and zero-downtime scaling under growth pressure.
Spatial · AR
Augmented Reality Systems
Build AR-integrated experiences for mobile web spatial object placement, camera feed processing, real-time 3D overlay in browser environments.
Monetisation
Subscription & Billing Systems
Implement end-to-end subscription monetisation payment gateway integration, plan logic, lifecycle management, churn reduction mechanisms.
Zero to One
Zero-to-One Product Execution
Take a product from idea to live users. Validated by doing it multiple times. Fast cycle time, sharp decision-making, bias toward shipping.

Signals

External proof points. Not self-assessed metrics.

Nights & Weekends S5 Accelerator Graduate
Selected for Buildspace's Nights & Weekends Season 5 a globally competitive build-focused programme with a sub-5% acceptance rate. Recognised for early-stage product execution on Ambio.
Selected
Fambience Private Limited Incorporated Startup
Founded and registered a private limited company in India. Built a cross-functional technical team. Operating multiple products simultaneously under a single engineering organisation.
Founder
Waves Summit — XR Creator Hackathon Winner
Won the XR Creator Hackathon at Waves Summit — India's flagship creator and startup event. Competed against teams from across the country, presenting Ambio's AI and augmented reality architecture to investors, operators, and ecosystem stakeholders.
Won

How I Build

Operating principles developed through two years of building real products not borrowed frameworks, not startup advice parroted from podcasts.

Execution over theory.
I started as a solo developer with one late-night idea. That first product won a national hackathon. The lesson wasn't about the win it was that shipping a working system teaches you more than any amount of research. Bias toward output has been the most consistent multiplier in my stack.
Systems over hacks.
Fast doesn't mean brittle. I design infrastructure that can absorb 10× growth without a rewrite. Every architectural decision is made with the next order of magnitude in mind serverless choices, data models, API contracts. Technical debt is a product decision.
Design is product strategy.
In consumer AI products, the interface is the differentiator. I treat every UX decision as a retention and conversion decision. Good design isn't aesthetic it's the product's ability to communicate value before the user reads a single word of copy.
Speed with correctness.
The goal is not to move fast and break things. It's to move fast and break nothing critical. I ship on short cycles but with clear line-of-sight to what breaks if a decision is wrong. Judgment over process.
Solo to team without losing velocity.
I built alone for the first year. Scaling to a team required rebuilding how I work documentation, decision frameworks, technical standards. Leadership didn't slow me down. It multiplied output. The compounding from team leverage is the real moat.

Technical Notes

System breakdowns, founder decisions, and hard lessons from building AI products not personal diary entries.

Work With Me

I'm selectively open to conversations that create leverage not networking for its own sake.

For Founders
Startup Collaboration
Building an AI product or technical infrastructure? If you're at an early stage and need a founder-level engineer in the room, let's talk.
For Investors
Angel & Investor Dialogue
If you're interested in what we're building at Fambience Ambio specifically and want a direct conversation about the product, market, and roadmap, I'm open.
For Technical Teams
Architecture Review
Working on a complex AI system, scalability problem, or critical architecture decision? I consult selectively on technical problems where I have direct experience.