---
title: "Aarushi Sahu - SDE Intern in Greater Bengaluru Area | Tal"
description: "Meet Aarushi Sahu, SDE Intern @ Western Digital | AI + Systems Engineer | Building Intelligent Systems across Machine Learning, Embedded Software & Storage Systems | IGDTUW’26 based in Greater Bengaluru Area. AI stack includes antigravity, cursor, and opencode."
image: "https://tal.club/meet/aarushi-sahu/share-image"
---

# Aarushi Sahu on Tal

## Headline

SDE Intern @ Western Digital \| AI \+ Systems Engineer \| Building Intelligent Systems across Machine Learning, Embedded Software & Storage Systems \| IGDTUW’26

## About

AI \+ Systems Engineer passionate about building intelligent solutions at the intersection of Machine Learning, Embedded Software, and Storage Systems\. Previously interned at Western Digital, where I worked on storage subsystem validation, NAND protocol analysis, reliability analytics, and AI\-driven automation tools\. I have also conducted research in machine learning and presented work on sentiment\-driven music recommendation systems at an IEEE conference\. My interests lie in Machine Learning, Generative AI, Software Engineering, Embedded Systems, and Intelligent Automation\. Skills: C\+\+ • Python • Machine Learning • Generative AI • Storage Systems • Embedded Systems • Linux • Git I'm currently seeking full\-time opportunities where I can contribute to impactful engineering and AI\-driven products while continuing to learn and grow\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

cursor

opencode

## Work experience

SDE Intern at Western Digital, Jan 2026 \- Jun 2026 · 6 mos, Bengaluru, Developed scalable Python analytics pipelines for large\-scale memory characterization datasets, processing thousands of reliability measurements across temperature, voltage, wordline, sector, and block\-level dimensions to automate trend analysis and validation workflows\. • Built a Retrieval\-Augmented Generation \(RAG\) platform using Python, LLMs, embeddings, and vector databases for technical document retrieval, trace analysis, automated compliance verification, and specification\-driven engineering workflows\. • Designed automation frameworks for log parsing, validation reporting, workflow orchestration, and root\-cause analysis, significantly reducing manual debugging effort across multiple engineering workflows\. • Collaborated in Agile environments using Git, Gerrit, Bitbucket, Jira, Docker, and Jenkins, contributing to CI/CD pipelines, code reviews, defect tracking, and automated validation frameworks across multiple releases\. Western Digital

Firmware Intern at Western Digital, May 2025 \- Jul 2025 · 3 mos, On\-site

Research And Development Intern at Defence Research and Development Organisation \(DRDO\), May 2024 \- Nov 2024 · 7 mos

Music Creator \(Guitar Covers and Vocals\) at YouTube, Dec 2023 \- May 2026 · 2 yrs 6 mos, Pursue a passion for music by creating and sharing guitar covers of original songs on YouTube and Instagram, honing skills in guitar playing, vocal performance, and music arrangement with creativity and attention to detail\.

Operation Head at TechNeeds IGDTUW, Oct 2023 \- Jan 2025 · 1 yr 4 mos

## Education

Bachelor of Technology \- BTech, Electronics and Communications with artificial intelligence, Indira Gandhi Delhi Technical University for Women

12th\| CBSE board examination, Science stream, Titiksha public school

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

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