Cybersecurity Analyst

Maaz
Husain.

Senior Quality Engineer turned Cybersecurity specialist. 5+ years delivering secure, cloud-native applications at enterprise scale. Currently pursuing MSc Cybersecurity at the University of Surrey.

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5+ years exp.
7 certifications
45% reliability lift
1 published paper
Work History

Experience.


Oct 2020
– Dec 2025
Senior Quality Engineer
LTIMindtree · Mumbai
  • Spearheaded QA & cloud deployment for an American Insurance client – achieved 25% reduction in FTE headcount through process automation.
  • Managed Functional, API and Automation test suites; implemented robust pipeline & API workflows increasing system reliability by 45%.
  • Led offshore team coordinating with client, cutting requirement turnaround by 2 days per sprint.
  • Implemented CI/CD optimisations including automatic trigger mechanisms and environment decoupling – reduced deployment time by 35%.
  • Drove a 50% faster issue resolution rate through structured troubleshooting and proactive support.
  • Maintained in-depth documentation for cloud infrastructure, APIs and test configurations; streamlined team onboarding.
Open Work

Projects.


Capabilities

Skills.


Languages
JavaScript Python SQL HTML CSS
Cloud & DevOps
Azure DevOps Azure AD AWS CI/CD
Testing & QA
Selenium TestComplete API Testing Test Automation
Cybersecurity
ISC2 CC Threat Modelling IAM Cloud Security
Leadership
Team Lead Mentoring Cross-functional Documentation
Machine Learning
LSTM NLP Jupyter Data Analysis
Credentials

Certifications.


ISC2
CC
ISC2 Certified in Cybersecurity
ISC2
AWS
SAA
Solutions Architect – Associate
Amazon Web Services
AZ
400
AZ-400: DevOps Engineer Expert
Microsoft Certified
AZ
104
AZ-104: Azure Administrator
Microsoft Certified
DP
203
DP-203: Azure Data Engineer
Microsoft Certified
DP
900
DP-900: Azure Data Fundamentals
Microsoft Certified
AZ
900
AZ-900: Azure Fundamentals
Microsoft Certified
Academic

Education.


MSc Cybersecurity
University of Surrey
Feb 2026 – Present
BE Information Technology
M.H. Saboo Siddik College of Engineering, Mumbai
2016 – 2020
Research · Springer 2020
Stock Market Prediction using Machine Learning
Intelligent Computing, Information and Control Systems · ICICCS 2020
LSTM model for stock price prediction combined with NLP-based sentiment analysis, achieving ≤30 RMSE. Co-authored with A. Shaikh, A. Panuganti & P. Singh. Implemented in Python using Jupyter Notebook.
Get in touch

Open to opportunities.

Cybersecurity analyst and cloud security roles. Based in Surrey, UK.

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