---
title: "Shubham Prateek - Software Development Engineer 2 in Bengaluru | Tal"
description: "Meet Shubham Prateek, SDE 2 at Swiggy | Ex - Zepto based in Bengaluru. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/shubham-prateek/share-image"
---

# Shubham Prateek on Tal

## Headline

SDE 2 at Swiggy \| Ex \- Zepto

## About

I specialize in crafting high\-performance, scalable backend systems, leveraging Golang and Java to build robust architectures that can handle massive scale\. With a deep understanding of distributed systems, I thrive on solving complex challenges—whether it’s optimizing system performance, ensuring fault tolerance, or designing microservices that seamlessly interact at scale\. 🔹 Expertise in: Backend Development \| Distributed Systems \| Microservices \| High\-Throughput Applications \| Cloud\-Native Architectures 🔹 Passionate About: Designing scalable, resilient architectures that power seamless user experiences 🔹 Approach: Blend performance optimization with clean, maintainable code to drive efficiency and innovation I’m always excited to exchange ideas, solve tough engineering problems, and explore cutting\-edge technologies in backend and distributed computing\. Let’s connect and talk about building systems that scale\! 🚀

## Location

Bengaluru

## AI stack

claude code

codex

cursor

gemini

langchain

mcp

## Work experience

Software Development Engineer 2 at Swiggy, Aug 2025 \- Present · 1 yr 1 mo, Remote

Software Development Engineer 2 at Zepto, Jul 2024 \- Aug 2025 · 1 yr 2 mos, Bangalore Urban, Karnataka, India

Software Engineer at Fractal, Jul 2022 \- Jun 2024 · 2 yrs, India

Intern at HighRadius, Jan 2021 \- Jun 2022 · 1 yr 6 mos, Bhubaneswar, Odisha, India, Worked on ML based products for predicting invoice defaults\. 1\. Cleaned the data on invoices from different customers using Python and R\. 2\. Analyzed the data in python and Power BI to get deeper insights on payment patterns of different customers\. 2\. Applied modern ML algorithms to predict whether those invoices are going to be defaulted\. 3\. Gained an accuracy of \~98% in successfully predicting default likeliness in different buckets\.

## Education

Bachelor of Technology \- BTech, Information Technology, Kalinga Institute of Industrial Technology, Bhubaneswar

dav schools network

[View the original profile](https://tal.club/meet/shubham-prateek)

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