01
Understand before building
I analyse the product, users, business model, and current technical setup before choosing where engineering can create the most leverage.
Abhilash Mirji · Bengaluru, India
I bring 11+ years of hands-on experience across product discovery, design, engineering, and delivery. I can step into an existing setup, find the highest-leverage opportunities, strengthen its engineering practices, and ship from idea to measurable outcome.

11+
years building products and leading engineering teams
60K
active users on a commerce platform
375K
students supported at enterprise scale
6
enterprise SDK clients onboarded
Selected work

sarvam.ai
Developer-first AI experiencesHelped take an Indic agentic AI capability from model access to a market-ready product ecosystem spanning user experiences, SDKs, authoring, analytics, monetization, and operations.

niti.ai
60% faster prototypingHelped turn an AI-assisted no-code concept into a usable product, combining visual authoring, cross-platform SDKs, performance work, and stronger engineering practices.

Paydala
6 enterprise clientsLed a cross-platform fintech product from partner requirements through secure SDKs, reference apps, backend services, and reliable releases for six enterprise clients.

Furlenco
60K active usersHelped launch a new furniture-subscription vertical across web and native apps, creating one coherent journey that reached 60,000 active users at peak.

Walmart
375K students · 3K+ concurrentOwned a student-engagement product from HR needs and resource planning through design, engineering, certification, and production for 375K students and 3,000+ concurrent users.
Hands-on range
I move across interfaces, APIs, mobile, SDKs, cloud systems, and applied AI to solve the product problem—not to defend a layer of the stack.
Clear workflows, rapid prototypes, design systems, and polished interfaces grounded in real user needs.
AI-native features, backend services, data, infrastructure, and the operational foundations behind dependable products.
Native apps, cross-platform experiences, SDKs, and developer tools that help products reach users and partners.
Analytics, quality, reliable releases, product collaboration, and practices that help teams learn and move with confidence.
How I work
01
I analyse the product, users, business model, and current technical setup before choosing where engineering can create the most leverage.
02
I turn ambiguity into a useful scope, balance speed with quality, and use AI where it meaningfully improves the experience or the way we build.
03
I stay hands-on from interface and architecture through APIs, delivery, analytics, observability, and the next iteration.
Beyond the work