---
title: "Aryan Shrivastava - Software Engineer in Noida | Tal"
description: "Meet Aryan Shrivastava, Java Backend Engineer | Spring Boot | REST APIs | Performance Optimization | AI-Integrated Systems based in Noida. AI stack includes cursor, github copilot, and langchain. Explore public work links including github."
image: "https://tal.club/meet/aryan-shrivastava/share-image"
---

# Aryan Shrivastava on Tal

## Headline

Java Backend Engineer \| Spring Boot \| REST APIs \| Performance Optimization \| AI\-Integrated Systems

## About

Software Engineer with hands\-on experience building and optimizing backend systems for high\-traffic production applications\. Currently contributing to mission\-critical airline systems, improving API performance, resolving production issues, and delivering stable deployments across UAT and Production environments\. Strong foundation in Java, Spring Boot, REST APIs, and SQL optimization\. Additionally built AI\-integrated systems including a Retrieval\-Augmented Generation \(RAG\) pipeline combining LLM APIs with document retrieval\. Targeting backend engineering roles focused on scalable systems, performance, and real\-world production impact\.

## Location

Noida

## AI stack

cursor

github copilot

langchain

openai

## Work experience

Software Engineer at Coforge, Oct 2024 \- Present · 1 yr 7 mos, Greater Noida, \- Contributed to backend enhancements and performance improvements for an international airline application, including a high\-traffic lounge management module \- Resolved 25\+ production defects, reducing repeat incidents by \~30% and improving overall system stability \- Optimized complex SQL queries, improving response time by 25–30% for high\-usage modules \- Delivered 15\+ backend enhancements and deployed changes across UAT and Production within a 7\-member team

Graduate Engineer Trainee at Coforge, Jun 2024 \- Oct 2024 · 5 mos, On\-site, \- Built a RAG\-based system integrating LLM APIs with document retrieval, improving contextual response relevance by \~35% \- Processed and cleaned 5k\+ records, applied chunking and embedding strategies, achieving \~89% retrieval accuracy \- Trained and tuned ML models on structured datasets, improving model accuracy from \~77% to \~90% \- Built a Django\-based e\-commerce application implementing backend logic, REST APIs, authentication, and database optimization

## Education

Bachelor of Engineering \- BE CSE, Computer Science, CHANDIGARH UNIVERSITY

Delhi Public School, Ranchi

## Public links

- github: https://github\.com/aryan1shrivastava

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

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