Sathwik Reddy Bollu

About

Welcome! I’m Sathwik, a Software Development Engineer II at Urban Company, specializing in full-stack technology to build seamless and innovative solutions

Some more details about me


  • Birthday: 30 January 2001
  • City: Bengaluru, India
  • Age: 23
  • Degree: Computer Science and Engineering

Skills

Skilled in full-stack development, leveraging expertise to build robust and scalable solutions across the entire technology stack.

C++ 100%
Python 90%
Node.Js 90%
React.js 80%
MongoDB 90%
HTML & CSS 55%

Resume

This is a short summary of my resume; click here for the complete resume.

Education

Bachelor of Technology

2018 - 2022

Indian Institute of Technology, Ropar

Graduated with a degree in Computer Science Engineering, achieving a 7.8 CGPA.

Professional Experience

Software Development Engineer II

August 2024 - Present

Urban Company, Bengaluru

  • Streamlined Product Procurement: Integrated suggestions from an ML model to identify the best possible vendor for product procurement and placed orders to enhance efficiency.
  • PII encryption: Ensured all user data stored in the database is encrypted using industry-standard algorithms, safeguarding sensitive information and maintaining compliance with data protection regulations.

Software Development Engineer I

May 2022 - July 2024

Urban Company, Bengaluru

  • Revamped Partner Product Purchase Flow: Overhauled the purchase process using Orion, an in-house framework based on React, which supports Android, iOS, and web platforms with a unified codebase.
  • Developed Help Center with Chatbots: Created a help center flow utilizing chatbots to facilitate partners in claiming refunds for missing or damaged items in orders.
  • Contributed to Barcode Scanning Project: Assisted in developing a barcode scanning feature to verify product authenticity, ensuring genuine products are used. Implemented a goodwill refund process for customers when authenticity promises are not met.
  • Implemented Auto-Replenishment Feature: Designed an auto-replenishment system that optimally calculates and replenishes product inventory for partners based on usage over the past 15 days, reducing order frequency while maintaining optimal stock levels.