DTU CSE / Applied ML

Machine learning and software.

I work at the intersection of ML, retrieval, NLP, and usable software: systems that understand messy inputs and turn them into decisions, guidance, or action.

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Selected Projects

Projects

Priority 01 GitHub

Sororia

Google Developer Hackathon on Campus finalist.

A women empowerment platform combining safety tools, scheme awareness, community forums, petitions, and SororAI guidance.

Problem

Information, safety, and support are scattered when they need to be immediate.

System

Built a Flutter platform with real-time news, secure route planning, SOS tools, forums, and an AI assistant for rights and complaint drafting.

Stack

Flutter · Gemini · Firebase · Selenium

Open source

Repositories

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Work

Experience

Myntra

Product Management Intern

Jul 2026 - Present

Developing the Homepage Curation Charter to define data-driven guidelines for homepage style merchandising.

Building the HiPo ranking framework using Revenue per List View and other business metrics.

Developing the PBS Charter for purchase-order planning and assortment decisions, and defining rules for automatic replenishment of Never Out of Style categories.

Maruti Suzuki India Limited

Business Analytics Intern

May 2026 - Jul 2026

Scraped 1,461 vehicle variants across 11 OEMs and built composite KPIs to rank feature richness and competitive threat.

Identified price and body-type whitespace for catalogue gaps, validating the KPIs through sensitivity analysis and PCA-derived weights.

Built a weekly market-intelligence pipeline with Python, Perplexity, OpenAI, and SQLite, plus a synthesis agent and A3 dashboard that reduced report generation from two days to two hours.

Contact

Get in touch

I am open to opportunities where machine learning is tied to a real workflow, a real user, and measurable improvement.

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