ASPIRING PRODUCT MANAGER · AI ENGINEERING

Hi, I’m Rishika.

Building product
thinking through
real projects.

Fourth-year AI Engineering student at SRM Institute of Science and Technology, Chennai.

Interlocking lilac and peach sculptures balanced on a forest-green archIt starts with
a good question.
01 / SELECTED EXPLORATIONSA little further down
PROJECT PORTFOLIO

Selected
projects.

Product case studies, prototypes, and AI workflows.

Five projects. Different questions.
Functional MVP
01 / PlacementOS

A clearer next move.

Helping students compare active opportunities and turn limited preparation time into an explainable, editable plan.

PlacementOS MVP screen overview: dashboard, add opportunity, opportunity analysis, comparison, preparation allocation and recommendation explanation
Explore case study
RAG prototype
02 / Mutual Fund Assistant

Facts you can trace.

A facts-only assistant concept for Groww: concise answers about selected HDFC schemes, backed by official sources and clear product boundaries.

ANATOMY OF A SOURCED ANSWER

A fact is only as useful
as its evidence.

  1. 01
    Ask a question

    A factual question, within a defined scope.

  2. 02
    Find evidence

    Keep the scheme and its source together.

  3. 03
    Cite the source

    Show the source and when it was checked.

Facts only · No investment advice

Explore case study
Workflow prototype
03 / Review Intelligence

From feedback to action.

An approval-gated AI workflow that turns public ChatGPT reviews into product insights and a sourced support clarification.

REVIEW INTELLIGENCE

Evidence first. Human approval next.

  1. 01
    Collect reviews

    500 public reviews in five batches.

  2. 02
    Find the signal

    Themes linked to supporting evidence.

  3. 03
    Approve the handoff

    Write a product log and an email draft.

Human-approved · Draft only

Explore case study
Product design study
04 / Return Recovery

A clearer way to get unstuck.

A trackable recovery case that connects pickup history, a customer dispute and a reasoned support decision.

RETURN RECOVERY

One case. A clear next step.

  1. 01
    Report the issue

    Keep the original return and attempt history.

  2. 02
    Track the review

    One case, with the explanation attached.

  3. 03
    See the next step

    A reasoned decision or a new pickup.

Review first · No automatic approval

Explore case study
Product case study
05 / ExchangeCheck

Every deduction, explained.

A transparent review flow for buyers whose device-exchange quote changes after doorstep inspection.

TRANSPARENT QUOTE REVIEW

See the change.
Choose the next step.

  1. 01
    Compare both quotes

    Make the revised value and final price impact clear.

  2. 02
    Review the evidence

    Show each condition finding and its deduction.

  3. 03
    Decide with context

    Accept, dispute, or cancel without ambiguity.

Rules-based · Manual review for exceptions

Explore case study

Four independent projects and one illustrative concept study.

LEARNING, IN PRACTICECompleted
NextLeap

Product Manager
Fellowship.

I’ve completed NextLeap’s Product Manager Fellowship, building my product thinking through live classes, practical assignments and mentor feedback.

About the fellowship

Skills Learned

  • Product strategy & discovery

    Systems thinking, business models, user research, jobs to be done and problem framing.

  • Design & prioritisation

    User journeys, prioritisation, UX foundations, wireframes and AI-assisted prototyping.

  • Metrics & growth

    KPI trees, North Star metrics, product-market fit, funnel analysis, experimentation and SQL.

  • Technical foundations

    Client-server architecture, databases, APIs and system design for product decisions.

  • AI product development

    LLMs, prompt engineering, embeddings, retrieval-augmented generation and AI agents.

  • AI evaluation & quality

    Failure modes, evaluation rubrics, golden datasets, A/B tests and quality–cost trade-offs.

ABOUT RISHIKA

Engineering
and product.

I’m Rishika Sahu, an AI Engineering student and aspiring product manager. I enjoy turning research, user needs, and technical constraints into clear product decisions.

My work focuses on product discovery, prioritisation, AI workflows, and consumer experiences.

More about me
GET IN TOUCH

Let’s talk about
product.