---
title: "prathna jain - SDE - 1 in New Delhi | Tal"
description: "Meet prathna jain, SDE-1 GreenStitch | Ex-intern Groww | Java | Data Structures and Algorithm | Spring boot | Developer based in New Delhi. AI stack includes claude and cursor."
image: "https://tal.club/meet/prathna-jain/share-image"
---

# prathna jain on Tal

## Headline

SDE\-1 GreenStitch \| Ex\-intern Groww \| Java \| Data Structures and Algorithm \| Spring boot \| Developer

## About

Software engineer with 1\+ year of experience building backend applications using Java and Spring Boot\. I enjoy designing REST APIs, solving backend performance challenges, and building scalable services My experience includes working with SQL databases, backend architecture, API development, debugging production issues, and collaborating with cross functional teams\. Outside of work, I actively improve mu problem solving skills through Data Structures and Algorithms andbuildb personal projects\.

## Location

New Delhi

## AI stack

claude

cursor

## Work experience

SDE \- 1 at GreenStitch\.io, Aug 2025 \- Present · 1 y, Bangalore, • Owned end\-to\-end delivery of an LLM\-powered ESG KPI extraction pipeline, from design through production, using Azure Functions and OpenAI APIs — automating document parsing for 100\+ ESG reports per month\. • Architected and launched the backend for the Initiatives module in Spring Boot, enabling seamless integration with the existing microservices ecosystem\. • Integrated OpenAI GPT\-5 into the emission\-estimation workflow to automate emission\-factor calculations, cutting manual computation effort by over 80%\. • Built a Spring Boot–JIRA API integration that auto\-generated 15\+ tickets per week for unit\-conversion failures, reducing ticket resolution time by 20%\.

Software Engineer Intern at Groww, Jan 2025 \- Jul 2025 · 6 mo, On\-site, • Engineered a deep ETag caching layer that cut Redis call volume by 70%, easing backend load and improving application responsiveness during peak traffic\. • Designed and implemented load\-shedding strategies that absorbed 2× traffic spikes with zero downtime\. • Migrated 10 batch jobs from Rundeck to Kubernetes, improving monitoring and debuggability and enabling perjob custom configurations\. • Built scalable REST APIs backed by Redis caching to deliver consistent, low\-latency performance at scale\.

## Education

Bachelor of Technology, Computer Engineering, Indira Gandhi Delhi Technical University for Women

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

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