---
title: "Divyanshu Bose - Software Engineer in Gurugram | Tal"
description: "Meet Divyanshu Bose, Software Engineer (Backend / Full-Stack) | Go, Node.js, React | Scalable Systems @ SHL | Ex-Optum based in Gurugram. AI stack includes antigravity, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/divyanshu-bose/share-image"
---

# Divyanshu Bose on Tal

## Headline

Software Engineer \(Backend / Full\-Stack\) \| Go, Node\.js, React \| Scalable Systems @ SHL \| Ex\-Optum

## About

Backend\-leaning Software Engineer with \~3 years of experience building high\-scale, production\-grade systems\. Currently at SHL, where I design and operate distributed backend services using Go and Node\.js, handling high throughput, low\-latency APIs, and large datasets\. I’ve built systems involving distributed caching \(Aerospike/Redis\), database sharding, async processing, and localization infrastructure used across multiple international markets\. I care deeply about performance, reliability, clean architecture, and writing maintainable code that scales with business growth\. Previously interned at Optum, working on ML and data\-driven systems\. Awarded SHL’s Growth Mindset Award for driving ownership and delivering measurable impact\.

## Location

Gurugram

## AI stack

antigravity

codex

cursor

## Work experience

Software Engineer at SHL, Jul 2023 \- Present · 3 yrs 2 mos, \- Designed and deployed a high\-performance distributed URL shortener in Go, handling 2k RPS and 15k\+ requests per batch, using DB sharding and goroutines\. \- Built a resilient distributed caching layer using Aerospike, reducing database load by 60% and API latency by 40%\. \- Led backend and full\-stack localization infrastructure across 10\+ locales, automating sync workflows and reducing manual effort by 90%\. \- Developed and maintained scalable REST APIs, ensuring reliability, observability, and clean separation of concerns\. \- Collaborated closely with frontend teams; built reusable React components and internal libraries used across multiple teams\. \- Conducted code/design reviews and authored internal documentation to enforce clean architecture standards\. \- Awarded SHL Growth Mindset Award \(2025\) for high\-impact engineering ownership\.

Software Engineer at SHL India Pvt\. Ltd\., Jul 2023 \- Present · 3 yrs 2 mos, Designed and deployed a high\-performance distributed URL shortener in Go, handling 15k\+ requests/call and 2k RPS using DB sharding and goroutines\. Built a resilient caching layer with Aerospike, reducing database load by 60% and API latency by 40%\. Led localization infrastructure for 10\+ locales; implemented DB\-driven key\-value frontend mapping and integrated Crowdin with cron jobs, reducing manual sync effort by 90%\. Developed responsive, accessible Angular modules and components; shipped 5\+ high\-impact features that improved UX and boosted sales by 10%\. Built a complex, reusable React datagrid component used across 25\+ screens by 4 internal teams; enabled scalable, prop\-driven APIs for rapid integration\. Spearheaded the development of a shared React component library \(Spectra\) used by 5\+ teams; delivered 70%\+ core UI components, set up project structure, and implemented CI/CD pipelines\.

Software Intern at SHL, Jan 2023 \- Jun 2023 · 6 mos

Software Engineer Intern at SHL India Pvt\. Ltd\., Jan 2023 \- Jun 2023 · 6 mos, Migrated critical modules from AngularJS to Angular, improving maintainability, performance, and developer onboarding\. Optimized SQL queries and async task schedulers using transformer pipelines and cron jobs — reduced job time from 184s to 19ms \(9,650x\) for 1\.2M\+ records/year\. Resolved production bugs in both frontend and backend, enhancing platform stability\.

Summer Intern at Optum, Jun 2022 \- Aug 2022 · 3 mos, Gurugram, Haryana, India, In this internship, I have developed different machine learning models and compiled them for medical use\.

Data Science Intern at Optum India, Jun 2022 \- Aug 2022 · 3 mos, Developed time\-series ML models to predict hospital room transfers from IoT sensor data; evaluated using precision, recall, and F1 metrics\. Collaborated with data scientists to deliver insights for hospital operations and patient care improvements\.

Wordpress Developer at Chamela Helpdia Charitable Trust \(CHCT\), Sep 2021 \- Oct 2021 · 2 mos

## Education

Bachelor of Technology, Computational Science, National institute of technology delhi

Mathematics, kendriya vidyalaya

## Public links

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

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

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