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Product Manager & Founder

Building products
that matter.

I work where product judgment meets technical depth - framing the right problem, then shipping the smallest thing that proves whether the answer holds.

Selected work below
Portrait of Bhanu Hasaranga

Philosophy

How I think about building.

  • 01

    The problem is the work

    Most product failures are correctly-built answers to badly-framed questions. Time spent sharpening the problem statement is the highest-leverage time available, and it is almost always the first thing cut.

  • 02

    Ship to learn, not to launch

    A release is an experiment with consequences. The point of shipping early is not speed for its own sake - it's converting opinion into evidence while the cost of being wrong is still low.

  • 03

    Constraints are the design

    Unlimited scope produces incoherent products. The decisions that define a product are the ones about what it will refuse to do, and those decisions have to be made deliberately rather than by attrition.

  • 04

    Technology serves the outcome

    New capability is only interesting where it changes the economics of a problem. Knowing when a model is the answer requires equally knowing the many cases where it is expensive theater.

Selected Work

Built, documented, and audited.

All work
Three panes: the conversation list, the ticket, and the customer and SLA context.
In DevelopmentPrototypeOctober 2026

Support System

A multi-tenant helpdesk and contact-centre platform, specified as a product first: ticket lifecycle, SLA clocks, and routing rules written down as decisions.

Role
Product owner and sole builder - product definition, requirements, and implementation
Disciplines
Product ManagementBusiness AnalysisUX DesignSoftware Engineering
Key figures
6 states / 15 transitions in the ticket state machine3 SLA clocks per ticket6 channel types
View project
The executive dashboard, updated over WebSockets as operational events land.
LiveProduction Prototype2025 - 2026

HotelMind AI

A hotel operations platform with a predictive layer - and a published analysis of where it falls short.

Role
Sole builder - product, analysis, engineering, data, and ML
Disciplines
Product ManagementBusiness AnalysisSoftware EngineeringData EngineeringMachine LearningGenerative AIMLOpsCloud & DevOps
Key figures
5 repositories in the system5 problems / 10 artifacts trained prediction models20 functional requirements documented
View project

Capabilities

What I bring to a product.

Product Strategy
Deciding what deserves to be built, in what order, and what the honest measure of success is before the first line is written.
Business Analysis
Turning working software and stakeholder intent into stated requirements, mapped processes, and a capability gap you can argue with.
AI Integration
Applying machine learning where it changes the economics of a problem - and recognizing the many cases where it doesn't.
Full Stack Engineering
Enough depth across the stack to make architectural calls with real cost awareness rather than delegated guesswork.
Data & ML Engineering
Schemas, pipelines, and models built so their outputs can be audited - including when the audit is unflattering.
Technical Leadership
Setting technical direction teams can execute against, and translating cleanly between engineering reality and business intent.

Writing

Notes on product and judgment.

All writing
Portrait

About

An engineer’s grounding, applied to product decisions.

I’m an Software Engineer at RestroEngage, with a background spanning full-stack development, applied machine learning, data engineering, and the product and requirements work around them. That range is useful less for what it lets me build than for what it lets me judge - which technical bets are worth their cost, and which are expensive detours.

More about my background

Contact

Have a problem worth framing properly?

I’m open to product roles, founding opportunities, and conversations about work that has a real outcome attached.

Start a conversation