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osnaren/README.md

Obuli Sai Naren

Frontend engineer building accessible commerce experiences, useful products, and open research artifacts.

React Β· TypeScript Β· Product UX Β· Accessibility Β· Performance

Portfolio Resume LinkedIn Email

Engineering with evidence

I build customer-facing ecommerce interfaces at Victoria's Secret & Co., with a focus on React, accessibility, performance, experimentation, and dependable product UX.

Outside work, I turn everyday questions into products, open-source projects, and research:

  • Product engineering: practical web tools with clear interaction models and production-ready details.
  • Frontend systems: reusable React and TypeScript patterns that hold up across devices, edge cases, and real customer journeys.
  • Research and open data: peer-reviewed computer-vision work and public medical-imaging datasets.

Selected work

β˜€οΈ ShadySide

Compares a route, departure time, sun position, and weather context to recommend the cooler side of a journey.

Live product Case study

πŸ”₯ TheFlames

Brings the familiar paper-and-pencil FLAMES game online with automatic and manual play, global charts, and shareable results.

Live product Source

🌲 Forest fire detection

Applies Learning without Forgetting so a classifier can learn new imagery without discarding earlier knowledge.

Paper Source

πŸ”¬ Medical-imaging datasets

Makes balanced cancer and retinal OCT image collections available for reproducible research and learning.

Kaggle Research archive

Working toolkit

Core product engineering

React TypeScript Next.js React Native Tailwind CSS Node.js

Quality, data, and delivery

Python MongoDB Accessibility Web Performance Git Vercel

Research and open data

  • 3 peer-reviewed publications across IEEE Access, Fire Ecology, and IEEE ICCCI.
  • 130,000-image Multi Cancer Dataset covering 8 cancer types and 26 subclasses.
  • 24,000-image Retinal OCT C8 Dataset spanning 8 retinal conditions.
  • 4,823-image Forest Fire C4 Dataset covering fire, smoke, combined, and negative samples.

ORCID Kaggle Google Scholar

Beyond the browser

Photography, gardening, community work, and small experiments keep the engineering grounded in observation. The longer version lives in my field notes.

Have an interesting frontend problem or product idea?

Start a conversation Β· Explore the portfolio Β· Read the resume

Pinned Loading

  1. forest-fire forest-fire Public

    Forest Fire Prediction using Deep Learning

    TypeScript 1 2

  2. WeatherApp WeatherApp Public

    A Responsive Weather App

    JavaScript

  3. the-flames the-flames Public

    A modern spark for the classic FLAMES game.

    TypeScript