Oltun Erim Ozavci

MEng Computer Science Student at UCL · Aspiring Security Architect

Summary

MEng Computer Science student at UCL with hands-on experience in cloud infrastructure, IoT endpoint administration and database design in a regulated healthcare environment. Building towards a career as a Security Architect through projects in cloud, security tooling and full-stack development.

Work Experience

Digital Projects Assistant (Interim Officer), Infrastructure & Systems

CW+ (Chelsea and Westminster NHS Foundation Trust), London · October 2023 – March 2024

  • Cloud Infrastructure & Migration Strategy: Optimised and maintained existing cloud-based content delivery networks for A&E in direct collaboration with Samsung. Led technical assessments with international SaaS vendors to architect a cloud-migration plan for hundreds of legacy, on-premise devices.
  • IoT Endpoint Administration & System Reliability: Administered a distributed hybrid fleet of IoT endpoints, including smart displays, AR/VR systems, robotics and environmental sensors. Designed a cost-effective asset management strategy that significantly reduced downtime and improved reliability across two major hospitals.
  • Data Modelling & Architecture: Designed and implemented a normalised database schema to catalogue digital assets and connected devices, establishing high data integrity and a reliable foundation for asset tracking.
  • Cross-Functional Tech Deployment: Led the installation of novel digital technologies for the 'Future Hospital' initiative, navigating the strict operational and compliance constraints of a highly regulated healthcare environment.

Projects

F1-JARVIS-GRANITE — Lead VR Engineer

November 2025 – March 2026 · Immersive VR racing analysis environment built for an IBM / UCL IXN project

Stack: Unreal Engine 4.27, C++, Blueprints, Python (Pillow), Blender, Win32 API, Convai, Kantan Charts Plugin

  • Architected a high-fidelity VR engineering hub with optimised 3D asset pipelines and real-time telemetry visualisation.
  • Developed a dynamic charting system with Win32 API integration and data down-sampling for stable VR performance, alongside Convai AI-driven interactive media.
  • Engineered JSON data parsing and modular Blueprint architecture to bridge immersive UI/UX with professional post-race analytical tools for Meta Quest and Windows PC.

FinDash — Financial Data Web App

September 2025 · Full-stack application for financial data visualisation

Stack: React, Node.js/Express, PostgreSQL, REST APIs, JWT authentication, cloud deployment (Render)

  • Implemented user watchlists, interactive D3.js/Recharts graphs, secure login and a modular API architecture.
  • Integrated machine learning models (regression and time-series forecasting) for stock trend analysis and price forecasting.

Password Cracker (SHA-256, MD5, bcrypt)

August 2025 · Modular password cracking tool demonstrating attack methods

Stack: Python, hashlib, bcrypt, CLI (argparse, tqdm), multiprocessing

  • Built dictionary, hybrid and brute-force attacks with real-time progress bars and results reporting.
  • Used multiprocessing to speed up brute-force search, with a modular structure for adding further hash algorithms.

Additional Software Development

  • Bioreactor Control System (C++, Arduino): Sensor-based microcontroller for pH, temperature and agitation control.
  • 3D Horror Video Game (Unity, C#, Blender): First-person survival horror game focused on immersive gameplay.
  • Web-Based Note-Taking App (Java, Maven): CRUD app with servlet-based backend and HTML/CSS frontend.

Education

University College London

MEng Computer Science (First Class Honours) · September 2024 – Ongoing

Kensington Aldridge Academy

A-Levels: Mathematics (A*), Physics (A), Computer Science (B) · September 2021 – July 2023

Languages & Interests