Hi, I'm Aishwarya 👋
Graduate Research Assistant & Software Engineer specializing in AI/ML, Cloud Infrastructure, and Cybersecurity.
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About

Currently pursuing my Master's in Computer Science at Purdue University while leading tech initiatives as a Graduate Research Assistant. Previously, I spent 5+ years at Trellix/FireEye building enterprise-scale security solutions, including XDR frameworks and endpoint protection systems serving 100K+ endpoints. I'm passionate about leveraging AI/ML to solve complex problems and have published research on optimization algorithms in ACM 2024.

Work Experience

P

Purdue University

Mar 2024 - Present
Graduate Research Assistant – Tech Lead
• Designed a high-throughput data access layer to unify 20K+ student records, reducing query latency by 40% and enabling parallel access across departments
• Led distributed SQL normalization workflow resolving 10K+ duplicate records, improving data integrity and reducing query execution time by 45%
• Engineered fault-tolerant ETL pipeline consolidating 300K+ student records into Salesforce, enabling parallel batch ingestion and scalable reporting
• Integrated LLM-driven summarization (via Hugging Face and Copilot-assisted coding) to auto-generate faculty research profiles, improving searchability for 300+ graduate students
• Implemented Kafka-based event pipeline for school-specific workflows, enabling parallel processing of 30K+ graduate applications and eliminating backlog during peak submissions
T

Trellix (formerly FireEye)

Jan 2022 - Dec 2023
Senior Software Engineer
• Migrated on-premise endpoint security features (quarantine, scans, host management) into distributed microservices, reducing infrastructure overhead and scaling to 100K+ endpoints
• Pioneered XDR framework integrating SIEM and SOAR, automating 100+ incident responses per day across endpoints, email, and networks; reduced SOC workload by 40%
• Architected reusable React plugin framework powering drag-and-drop playbook editor in XDR platform, enabling analysts to automate workflows and cutting investigation-to-remediation time by 35%
• Designed log processing pipeline handling 5M+ syslogs/day with ML-based entity extraction, boosting anomaly detection accuracy by 35%
• Strengthened real-time remediation by improving fallback handling and automatic recovery in distributed WebSocket sessions, ensuring persistent connectivity across 10K+ endpoints
• Onboarded and mentored 10+ engineers in secure coding and microservice design, accelerating ramp-up time and reducing production bugs by 20%
F

FireEye Inc.

Jun 2019 - Dec 2021
Software Engineer
• Developed core endpoint security features protecting 100K+ enterprise endpoints, including optimized malware scans, file acquisition workflows, and policy enforcement at scale
• Implemented task orchestration service using message bus for 100K+ endpoints, enabling real-time status tracking, streamlined task assignment, and faster response handling
• Built remote host remediation service with parallel session handling, enabling cross-platform (Windows, macOS, Linux) script execution across 10K+ endpoints and reducing remediation cycle time by 40%
• Extended endpoint policy service to macOS/Linux by collaborating with C++ agent team; optimized payload parsing and policy propagation for high-throughput distribution
• Developed correlated malware scan reporting service, cutting report generation time by 25% and providing real-time insights for 100K+ endpoints

Education

P

Purdue University

2024 - 2025
Master of Science - Computer Science
A

Anna University (College of Engineering, Guindy)

2015 - 2019
B.Tech Information Technology - First-class with distinction

Skills

Python
JavaScript
TypeScript
C
C++
Go
SQL
React.js
Node.js
Azure
AWS
Docker
Kubernetes
Jenkins
PyTorch
TensorFlow
PostgreSQL
MongoDB
Flask
Express.js
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Security Instrumentation for WebXR

Built a dynamic instrumentation framework for WebXR to detect unsafe interactions, enabling real-time alerts for click fraud, hidden decoys, and synthetic input. Integrated AI-driven detection hooks with less than 5% performance overhead.

WebXR
JavaScript
AI/ML
Real-time Detection
Performance Optimization

Cryptojacking Detection Engine

Developed a cloud-based engine to detect illegal crypto-mining, achieving 90% detection accuracy across 10K+ network calls. Implemented Copilot-assisted coding and AWS Lambda pipelines to simulate large-scale threat scenarios.

AWS Lambda
Python
Cloud Computing
Machine Learning
Security Analysis

AI-Based Conference Scheduler

Developed a conference scheduling algorithm using genetic algorithms, achieving a 30% improvement in resource allocation efficiency compared to existing methods. Published in ACM 2024.

Python
Genetic Algorithms
Optimization
AI/ML
Research
Publications & Certifications

Research & Professional Development

Published research in leading conferences and earned industry certifications demonstrating expertise in cloud technologies and software development.

  • C

    Conference Scheduling Optimization Using Genetic Algorithms

    ACM Publication

    Published research on conference scheduling optimization using genetic algorithms, achieving a 30% improvement in resource allocation efficiency compared to existing methods.
    DOI Link
  • A

    AWS Certified Developer Associate

    Amazon Web Services

    AWS Certified Developer Associate certification demonstrating expertise in developing, deploying, and debugging cloud-based applications using AWS.
    Credential
Contact

Get in Touch

I'm always open to discussing new opportunities, collaborations, or interesting projects. Feel free to reach out to me at aishwarya.devi.24@gmail.com and I'll get back to you as soon as possible.

LinkedIn