---
title: "Shikha Rachhadia - Associate Software Engineer in Ahmedabad | Tal"
description: "Meet Shikha Rachhadia, Associate Software Engineer@Accenture | Ex-Research intern @ ISRO| Mentee at Microsoft Engage 2022 based in Ahmedabad. AI stack includes gemini, github copilot, and grok."
image: "https://tal.club/meet/shikha-rachhadia/share-image"
---

# Shikha Rachhadia on Tal

## Headline

Associate Software Engineer@Accenture \| Ex\-Research intern @ ISRO\| Mentee at Microsoft Engage 2022

## About

Software Engineer at Accenture with experience in building AI\-powered chatbot systems, backend APIs, and scalable applications\. Implemented JWT\-based authentication and SSO integration, strengthening API access control and improving authentication reliability by 40%\. Developed chat history and session management APIs with database integration, enabling seamless conversation retrieval and improving user engagement and continuity\. Skilled in Python, Flask, React, and database integration, with a strong focus on improving system performance and user experience\. Currently exploring Generative AI, including LangChain, LangGraph, and RAG architectures, to build intelligent and agent\-based systems\. Previously worked on deep learning models at ISRO for satellite image processing with high accuracy\. Passionate about AI, backend systems, and continuous learning\.

## Location

Ahmedabad

## AI stack

gemini

github copilot

grok

claudecode

Base44

ChatGPT

## Work experience

Associate Software Engineer at Accenture in India, Nov 2024 \- Present · 1 y 9 mo, Ahmedabad, Implemented JWT\-based authentication and SSO integration for an AI\-powered pharma recipe recommender chatbot, improving authentication reliability by 40% and strengthening secure API access\. ● Developed chat history and session management APIs with database integration, enabling users to retrieve previous conversations after re\-login and ensuring persistent conversation storage\. ● Designed and implemented chat history on the frontend, allowing seamless retrieval and display of previous chats, improving chatbot continuity and user engagement by 50%\. ● Reduced redundant conversation flows by 35% through optimized session handling and improved chat navigation experience\. ● Debugged and resolved API routing, token validation, and environment configuration issues, improving overall system reliability by 40%\. ● Collaborated across frontend and backend layers to ensure stable chatbot performance and smooth frontend–backend integration\.

Research Intern at ISRO \- Indian Space Research Organization, Dec 2023 \- Mar 2024 · 4 mos, Ahmedabad, Gujarat, India, Concurrently researched in the field of computer vision, specifically focused on satellite image segmentation\. Employed sophisticated deep learning models, including U\-NET, VGG, and ResNet, while explored and implemented various methodologies to enhance the performance of the segmentation process\.

Microsoft Engage \- Mentee at Microsoft, May 2022 \- May 2022 · 1 mo, India, Integrated payment POS systems with facial recognition for seamless and secure payments\. Enabled two\-factor authentication \(2FA\) through facial recognition and a PIN for enhanced security\. Implemented Face Payment system to eliminate the need for cards, cash, or phones during transactions\.

Website and graphic designing at Esquire Drug House, Aug 2021 \- Aug 2021 · 1 mo

## Education

Bachelor of Engineering \- BE, Computer Engineering, Indus University Ahmedabad

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

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