$ whoami

Maaz Husain_

// Cybersecurity Analyst

Senior Quality Engineer transitioning into Cybersecurity. 5+ years delivering secure, cloud-native applications at enterprise scale. Currently pursuing MSc Cybersecurity at the University of Surrey. Building hands-on DFIR and SOC tooling along the way.

5+ years exp.
9 certifications
1 published paper
01 / 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.
02 / open work

~/projects


docker-security-pipeline
Docker Security Pipeline
Hands-on DevSecOps pipeline that hardens a Flask app from build to ship: a multi-stage, non-root Docker build on digest-pinned base images, a Trivy CI gate that fails on vulnerable layers, plus SBOM generation with Syft and Docker Scout scanning — security shifted left into the build itself.
Docker DevSecOps Trivy CI/CD SBOM
network-segmentation-advisor
Network Segmentation Advisor
Turns an Nmap scan or YAML inventory into a least-privilege segmentation plan. Classifies each host by role and sensitivity, groups them into security zones, and outputs the allow/deny rules needed to enforce them — network threat modelling reduced to a repeatable command.
Python Nmap Network Security Threat Modelling
memory-forensics-investigation
Memory Forensics Investigation
Repeatable DFIR workflow built on Volatility 3 — memory image in, integrity-verified evidence pack out. Triages captured RAM for malicious processes, injected code, C2 traffic and persistence, then produces MITRE ATT&CK-mapped, evidence-led investigation reports across four worked cases.
Python Volatility 3 DFIR MITRE ATT&CK
password-generator
Password Generator
Secure CLI password generator in Python with Have I Been Pwned breach checking via k-anonymity — only a hash prefix ever leaves the machine — plus customisable character sets and an auto-clearing clipboard.
Python HIBP k-Anonymity CLI
grafana-k8s-cloudformation
Grafana on K8s with CloudFormation
Deploys a Grafana observability stack on Kubernetes using AWS CloudFormation for infrastructure provisioning.
AWS Kubernetes Grafana CloudFormation
03 / capabilities

~/skills


# cybersecurity
DFIR Volatility 3 Phishing Triage Threat Intel IOC Enrichment Threat Modelling IAM Cloud Security
# languages
Python JavaScript TypeScript SQL Bash HTML/CSS
# cloud & devops
Azure DevOps Azure AD AWS CI/CD Docker Kubernetes
# testing & qa
Selenium TestComplete API Testing Test Automation
# leadership
Team Lead Mentoring Cross-functional Documentation
# machine learning
LSTM NLP Jupyter Data Analysis
04 / credentials

~/certifications


05 / testimonials

~/references


He has great communication skills, and is thorough in troubleshooting the issues that come up in our system. He is reliable and does a consistently good job. I would highly recommend him!
Mickey (Mihaela) Conopask FCAS · 20+ years of experience // client · Jan 2026
His work in validating/testing applications was top notch — I can always rely on his skills to deploy functionality with the highest quality. He was instrumental in creating automation plans and scripts for multiple applications. A great asset to any team he joins.
Ritesh Khemka Application Architect, Team Lead // managed Maaz directly · Jan 2026
Maaz single-handedly drove an entire application's testing across all aspects — database, functional, UI automation and API automation. He was excellent in client communication and built great rapport with the customer within months of joining, while mentoring juniors and taking on work outside his project. His work has been exemplary — a great addition to any team he joins.
Shobha M Devadiga Automation QA Architect · Project Manager // managed Maaz directly · Dec 2025
Maaz is a very hardworking and dependable QA professional, great at both functional and automation testing. He brings consistency and can always be trusted to deliver high-quality results. What really stands out is his eagerness to learn — always excited to pick up new skills. Helpful, supportive, and with a strong sense of ownership.
Shubham Chaudhari Specialist // managed Maaz directly · Dec 2025
Maaz has strong knowledge of automation, performance and manual testing. He's friendly by nature and helps others complete their work — straightforward, honest, and able to handle any kind of pressure while coordinating with the client.
Premkumar Thanikachlam Senior Specialist Software Engineer · LTIMindtree // managed Maaz directly · Dec 2025
An excellent QA professional with strong attention to detail and a clear understanding of product quality. His dedication helped the team deliver reliable and high-quality releases.
Siddharth Gajbhiye Senior Software Engineer // worked with Maaz · Dec 2025
06 / 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.
$ ping maaz

Open to opportunities

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

Tweaks