---
title: "Aditi Sharma - Software Engineer in Bengaluru | Tal"
description: "Meet Aditi Sharma, Building Rysa | ex-Amazon | CS@BITS Pilani based in Bengaluru."
image: "https://tal.club/meet/aditi-sharma-9/share-image"
---

# Aditi Sharma on Tal

## Headline

Building Rysa \| ex\-Amazon \| CS@BITS Pilani

## Location

Bengaluru

## Work experience

Software Engineer at Amazon, Sep 2024 \- Present · 2 yrs, Bengaluru, Karnataka, India

Associate Product Manager at Spinny, Aug 2020 \- Oct 2022 · 2 yrs 3 mos, Gurugram, Haryana, India, Led and envisioned the engagement and user experience roadmap of consumer website, which grew by 22% in monthly active users and by 50% in final bookings in the past year\. Devised sorting algorithm for the product listing feed facilitating higher visibility and suitability, which helped reduce the fraction of inventory sitting for more than 3 months' by 40%\. Led the project of personalizing website experience for returning users \- built a one\-stop activity board on homepage providing actionable next steps and helpful tips for each stage to a prospective buyer\. Designed and wrote the entire flow of WhatsApp chatbot for visitors \(demand\) on website mimicking human sales pitch and anticipating general customer queries, after doing extensive user research\.

Software Developer\(intern\) at OfBusiness, Jan 2020 \- Jun 2020 · 6 mos, Gurugram, Haryana, India, • Part of the development and maintenance team of the BidAssist app \(in React Native\),India’s fastest growing platform presenting government tenders results and relevant information\. • Wrote the frontend code for BidCoins feature of the app\-a model that awards users Bidcoins as per their engagement with the app which they can use later to avail various offers\.

Research And Development Intern at IDC School of Design, IIT Bombay, Aug 2019 \- Dec 2019 · 5 mos, Mumbai, Maharashtra, India, • Swarachakra is a home\-grown android keyboard by IDC,IIT Bombay supporting multiple Indic scripts and known for its unique circular vowel display design\. • Conducted surveys to deduce any tangible pattern/s in spelling errors Indic scripts’ typists are most prone to make,owing to the language’s unique structure and semantics\. • Researched and devised algorithms instrumental in providing possible corrected word options for the errors made\(autocorrect feature\)\. • Built a Bi\-Directional recurrent neural network model powered, spelling corrector model, using Keras and Tensorflow , that achieved 94\.8 percent accuracy for the top 500 most frequent, erroneous words in Swarachakra Hindi Database\.

## Education

Bachelor of Engineering \- BE, Computer Science, Birla Institute of Technology and Science, Pilani

Master of Science \- MS, Mathematics, Birla Institute of Technology and Science, Pilani

[View the original profile](https://tal.club/meet/aditi-sharma-9)

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