Hobart, Tasmania · Australia

Ammaar
Iftikhar

Master of Computer Science graduate from the University of Sydney. Cybersecurity, Machine Learning, and Distributed Systems.

CC Certified Security+ Scheduled ACM · IEEE · ISC2
9 Course Distinctions MSCS
3.60 Undergrad GPA
About

I completed my Master of Science in Computer Science at the University of Sydney (9 Course Distinctions) and my undergraduate studies in Computer Engineering at Bilkent University, graduating Magna Cum Laude in the top 10 percentile.

My hands-on experience spans CTF challenges, reverse engineering with Ghidra and Frida, MITM attacks, and vulnerability assessment using Metasploit and ZAPROXY. I have also worked extensively in machine learning, building CNNs, RNNs, and information-theoretic models across applied problems.

I have worked across five organisations in software engineering, backend development, and technology consulting. I am currently based in Hobart and am open to cybersecurity, software engineering, and data roles locally and remotely.

Education

  • MSc Computer Science USYD 2024–26
  • BSc Computer Engineering Bilkent 2019–23

Certifications

  • CC — Certified in Cybersecurity ISC2
  • CompTIA Security+ Scheduled

Interests

  • Cybersecurity
  • Distributed Systems
  • Algorithms
  • Machine Learning

Curriculum Vitae

Full resume with projects, experience, and academic record — updated 2026.

Download CV →
Experience
Aug – Dec 2025
Backend Developer (Graduate Project)
RenoPilot Pty Ltd, Australia
  • Built and integrated REST APIs to connect the backend and frontend of a renovation platform.
  • Wrote unit and integration tests to validate end-to-end functionality.
  • Developed backend features using Express.js and Node.js.
Jul 2023 – Mar 2024
Technology Consultant
Encon Asia (Startup) — J&K, India
  • Architected and developed the startup's web platform, ensuring a secure and responsive digital presence from the ground up.
  • Consulted on digital infrastructure, recommending modern GIS tools and spatial data approaches to optimise core operations.
  • Evaluated and selected the tech stack, balancing long-term scalability with immediate budget and performance requirements.
  • Advised on integrating technology into urban planning workflows to support sustainable smart city design.
Jun – Aug 2022
Software Engineering Intern — SRE
Bayzat, Ankara, Turkiye
  • Built a software management tool in GoLang to streamline infrastructure and deployment changes.
  • Engineered a Text User Interface using the Bubble Tea and Glow libraries.
  • Developed a JSON data integration pipeline for processing infrastructure changes.
Sep – Dec 2021
Software Engineering Intern
Radity, Zurich, Switzerland (Remote)
  • Built and maintained packages for a SaaS application using Django and SMTP libraries.
  • Identified and addressed security vulnerabilities on a company website through a targeted Metasploit investigation.
  • Refactored the solution into a reusable boilerplate adopted across the organisation.
Jun – Sep 2021
Software Engineering Intern
FDNSOFT, Ankara, Turkiye (On-site)
  • Added an advanced search feature and improved UI graphics for a company application.
  • Built the frontend using Flutter and the backend using Node.js.
Projects

Selected Work

Cybersecurity · AI
LLM-Powered Alert Triage — Microsoft Sentinel
Building an automated security alert triage system that uses Claude (Anthropic) to summarise and prioritise Sentinel incidents in plain English, reducing analyst noise and investigation time.
Azure Sentinel Logic Apps Azure Functions Python Anthropic API KQL Power BI
Data Engineering
Analytics Pipeline — Healthcare Data (MIMIC)
End-to-end data pipeline ingesting real-world healthcare data using Airflow DAGs, dbt transformations with automated integrity tests, and interactive dashboards in Apache Superset.
Apache Airflow dbt Docker Postgres Apache Superset Python
Cybersecurity · Penetration Testing
Vulnerability Assessment
Discovered 16 vulnerabilities across network, OS, web server, and database layers. Gained root access via insecure boot, exploited Werkzeug debug console, FTP anonymous access, and SQL injection. Documented findings and remediations. Received 100% score.
Metasploit ZAPROXY nmap sqlmap Wireshark John the Ripper Kali Linux
Machine Learning
Lung Disease Classifier
Engineered SVMs, Neural Networks, and Vision Transformers (ViTs) to classify lung X-rays into five categories. Achieved 92% accuracy on the test dataset. Earned 100/100 on the final report.
PyTorch SVMs ViT NumPy ConvexOpt
Large Scale Networks · Data Analysis
Stock Market Network Analysis
Processed time-series data for 4,440 stocks over 5 months. Built similarity graphs using PMI and MAD metrics. Analysed clustering, sparsity, and centrality to study sector behaviour and market sentiment.
Python NetworkX PyTorch Pandas yFinance
Cybersecurity · Incident Response
DNC Hack Incident Review
Investigated the 2016 Democratic National Convention cyberattack, identifying attack vectors including spear-phishing and credential theft. Authored a structured incident review report with timeline, impact analysis, and recommended mitigations.
Threat Analysis Incident Response Technical Writing OSINT
Machine Learning · Information Theory
Breast Cancer Feature Selection
Compared feature selection mechanisms using Mutual Information and Conditional Mutual Information. Built a PyTorch autoencoder for dimensionality reduction alongside PCA. Received a distinction.
PyTorch Keras Pandas JIDT Python
CTF · Reverse Engineering
Catch The Flags
Completed 7 out of 8 CTF challenges across reverse engineering, cryptography, and network security. Reverse engineered binary executables using Ghidra and apktool. Executed a MITM attack on live network traffic.
Ghidra Frida apktool Python MITM
Writing

Thoughts & Notes

Coming soon
From NLP to Cybersecurity
The unexpected overlap between information theory and network security.
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Contact

Let's talk.

I am open to cybersecurity, software engineering, and data roles. Whether it is a role, a collaboration, or just a conversation, feel free to reach out.

Based in Hobart, Tasmania. Open to remote and relocation.

Email
hakim.ammaar@gmail.com
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LinkedIn
ammaar-iftikhar
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GitHub
AmmaarIftikhar
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