---
title: "Sudhanshu Singh - Software Engineer 1 in Bengaluru | Tal"
description: "Meet Sudhanshu Singh, Software Engineer @Bellpost | Backend & Al Integration Specialist | Java, Spring Boot, Next.js | Specialist @Codeforces | Knight @Leetcode | Building Scalable Microservices based in Bengaluru. AI stack includes antigravity, codex, and cursor. Explore public work links includin..."
image: "https://tal.club/meet/sudhanshu-singh-1/share-image"
---

# Sudhanshu Singh on Tal

## Headline

Software Engineer @Bellpost \| Backend & Al Integration Specialist \| Java, Spring Boot, Next\.js \| Specialist @Codeforces \| Knight @Leetcode \| Building Scalable Microservices

## About

Software Engineer with about 1 year of industry experience building scalable backend systems using Java and Spring Boot\. At Bellpost, I have designed data pipelines, webhook\-driven integrations, and message\-queue based systems handling tens of thousands of records and hundreds of weekly transactions\. Strong foundation in Data Structures, Algorithms, and System Design with 2000\+ problems solved across competitive programming platforms\. Actively seeking Backend / Software Engineering roles\.

## Location

Bengaluru

## AI stack

antigravity

codex

cursor

## Work experience

Software Engineer 1 at Bellpost, Sep 2025 \- Present · 1 yr, • Built a Java \+ Spring Boot contact acquisition pipeline that automated processing for 10,000\+ stakeholders and eliminated manual data entry\. • Designed an asynchronous, webhook\-driven AI content pipeline \(Claude, RunwayML, Heygen\), improving throughput by 3×\. • Integrated Razorpay and Delhivery into core backend systems with reliable event handling via webhooks and retries\. • Implemented an async message\-queue indexing pipeline with Algolia, enabling near real\-time updates for 10k\+ records\. • Automated retailer payouts and reconciliation using Razorpay APIs, processing hundreds of transactions weekly\.

Software Engineer Intern at Bellpost, Mar 2025 \- Sep 2025 · 7 mos, 1\. Integrated Amazon Personalize with a Spring Boot application to deliver real\-time personalized recommendations\. 2\. Completed end\-to\-end setup of Amazon Personalize, including dataset preparation and solution deployment\. 3\. Built and automated two data pipelines to re\-train the Personalize model using updated users, items, and interaction data\. 4\. Developed a real\-time interaction ingestion pipeline using API Gateway → Kinesis → Lambda → Personalize\. 5\. Implemented caching using Redis and distributed locking mechanisms using Redisson to optimize system performance and avoid race conditions\.

## Education

Bachelor of Technology \- BTech, National Institute of Technology , Patna

## Public links

- github: https://github\.com/Sudhanshusingh1182

[View the original profile](https://tal.club/meet/sudhanshu-singh-1)

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