curated randomnessby Rahil Chamola
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About / current version

I build products, systems, and explanations for problems that do not arrive neatly defined.

I’m Rahil Chamola: an APM-II at Navi, an interdisciplinary product builder, and a restless learner who would usually rather make something than merely hold an opinion about it.

My work moves between AI products, workflow design, software, writing, and philosophy. The categories are untidy. The through-line is not: I enjoy difficult problems, useful constraints, and the moment a vague idea becomes something another person can inspect, challenge, or use.

Curiosity atlas / one question, six territories

The questions travel further than the job titles.

The media have changed from essays and teaching to products, interfaces, AI systems, and interactive worlds. These questions keep returning.
Central questionHow do systems change what people can understand, choose, and do?
  1. 01
    Product and constraintsCurrent

    How do we turn ambiguity into a useful first version without pretending the uncertainty has disappeared?

  2. 02
    AI and agencyCurrent

    How can capable systems expand agency without quietly taking ownership away from people?

  3. 03
    Attention and interfacesRevisited

    What do defaults, incentives, and feedback loops make easy—and what do they make difficult to notice?

  4. 04
    Learning and translationCurrent

    How do difficult ideas become accessible without losing the distinctions that make them useful?

  5. 05
    Power and institutionsRevisited

    When does structure make people more capable, and when does it quietly become control?

  6. 06
    Games and living worldsExperiment

    Why do some rules create learnable, surprising worlds while others produce only compliance?

Current / working strengths

My best work is usually zero-to-one.

Give me a consequential problem, incomplete information, and real constraints. I am strongest when the work has not yet inherited its shape.

  1. 01

    Zero-to-one product definition

    Current

    I turn an ambiguous field of possibilities into a product hypothesis with a defined user, problem, scope, non-goals, open decisions, and evidence requirements.

  2. 02

    AI product-system design

    Current

    I design AI as a system of models, context, state, evaluation, permissions, deterministic checks, human approval, and interface—not as a prompt attached to a feature.

  3. 03

    Systems thinking

    Current

    I look for the incentives, defaults, feedback loops, and failure modes around an action, not only the intention of the person taking it.

  4. 04

    Evaluation and measurement

    Current

    I translate qualitative expectations into testable criteria, guardrails, and review loops, with particular care for metrics that reveal value rather than reward activity.

  5. 05

    Research, synthesis, and teaching

    Current

    I work across competing bodies of thought, compress them into a useful structure, and explain that structure without removing the complexity that makes it meaningful.

  6. 06

    Rapid prototyping

    Current

    I build interfaces, workflows, agentic tools, and interactive experiments to test a view before treating it as settled.

Historical / formative

My education makes more sense as a constellation than a ladder.

I learn by crossing fields and then building with the connection. The point is not to collect disciplines; it is to find where their explanations disagree and make that disagreement useful.

01
Ashoka University

BA (Hons) in Philosophy, Politics and Economics

Diploma in Advanced Studies and Research in Entrepreneurial Leadership and Strategy
02
Indian School of Business

Dual specialisation

Strategy and IT Management
Coursework / clustered by questionFour intellectual territories
  1. A

    Systems, power, and behaviour

    Political philosophy, Marx, critical theory, institutions, incentives, material conditions, and algorithmic attention.

  2. B

    Strategy, organisations, and technology

    Strategy, IT management, organisational decisions, product systems, and technology-enabled change.

  3. C

    Entrepreneurship and markets

    Entrepreneurial leadership, design thinking, finance, investing, and the work of creating something from zero.

  4. D

    Culture, translation, and meaning

    Philosophy, language, teaching, debate, music, and making difficult ideas accessible without making them trivial.

Current / hands-on

The stack is supporting evidence, not an identity.

I work hands-on with TypeScript, React and Next.js; Node; Expo and React Native; PostgreSQL with Prisma and Supabase; schemas, tests, state and graph systems; and multi-provider AI workflows.

TypeScriptReactNext.jsNodeExpoReact NativePostgreSQLPrismaSupabaseAI workflowsState systemsGraph systems

The interesting part is usually the composition: which work belongs to an AI model, which requires deterministic logic, what context is appropriate, how authority is bounded, where provenance is retained, and when a person must make the final decision.

Current / recurring method

I turn learning into a project.

I do not learn well through passive accumulation. A question usually becomes a paper, prototype, game, workflow, teaching artifact, or public note. Building exposes what I do not yet understand; that gap determines the next subject.

  1. 01Find the live question

    Start where curiosity and a real constraint meet.

  2. 02Build a working form

    Turn the question into an essay, interface, system, or game.

  3. 03Expose the gaps

    Use the artifact to discover what the elegant theory missed.

  4. 04Choose the next field

    Learn what the failure now makes necessary.

Taste / no business case required

Not every interest needs to become a professional thesis.

Play keeps the page honest. These are active parts of my life, not decorative evidence that I am secretly better at product management.

Current

Game master

I like holding a world together while players make it stranger than the plan.

Experiment

Interactive AI games

I am experimenting with responsive characters, histories, and world state.

Experiment

Productivity systems

I keep redesigning personal systems and learning from the point where they fail.

Taste

Music and competitive games

I make and curate music, and I have long relationships with games including Dota 2, SMITE, and Old School RuneScape.

Current

Table tennis

Fast feedback, footwork, timing, and no abstraction.

Current / method

How I try to work.

  1. 01

    Start with the structure of the problem, not the glamour of the tool.

  2. 02

    Make constraints explicit enough to design with.

  3. 03

    Use AI for velocity; keep evidence, taste, and consequential decisions under human ownership.

  4. 04

    Translate complexity without flattening it.

  5. 05

    Design failure so that it is visible and recoverable.

  6. 06

    Treat uncertainty as information, not an embarrassment to hide.

About this page

This is self-documentation, not a definitive biography.

I would rather maintain an honest, versioned record than compress myself into one immaculate professional claim. An old essay is not automatically my present position. A prototype is not a shipped product. Exposure is not mastery. Contribution is not sole ownership.

Current
True now and tended.
Historical
True of a dated period.
Revisited
An older idea under current review.
Experiment
Exploratory, not outcome-proven.
Taste
Loved without needing to be useful.

The page will remain incomplete on purpose. New material earns its place when I can describe it honestly.