Computer Science Student
Malware Analyst
Video Maker
Cyber-security engineer
'IC student with a focused ambition to work within the Cyber Security field.'
Currently studying for a joint Cyber Security Master at EPFL/ETHZ, I have built a sound knowledge of
Software / Hardware fundamentals as well as some solid Software Engineering and Low-Level
programming interests learnt through studies and multiple projects through my cursus.
Skills
Experience
Education
I can give you some tips and help you in certain domain for your study.
Contact me to agree on what subject we can work together!
I'm open to any proposition of software development or Machine learning project.
Don't hesitate to contact me to agree on a project development.
During my free time I love to create cinematographic content.
You can contact me if you have a video project you would like to build with me!
Built a Secure Multi-party Computation (SMC) system in Python, implementing secret sharing, Beaver triplet generation, and arithmetic circuit evaluation for private collaborative computation. Designed expression parsing and integrated robust inter-party communication with tested architecture using pytest and Flask.
Implemented low-level CPU and DRAM attacks such as AnC, Meltdown, RetBleed, and Rowhammer, targeting memory isolation, speculative execution, and physical reliability. Developed real-world exploits requiring deep expertise in computer architecture, systems programming, side-channel analysis, and hardware reverse engineering.
Built a fully functional ACMEv2 client ecosystem supporting dns-01 and http-01 challenges, wildcard domains, and automated certificate revocation using a custom DNS, HTTP, and HTTPS stack. Implemented JOSE-compliant request signing, X.509 certificate handling, and RFC8555-compliant state machines, integrated with Pebble for end-to-end testing.
Developed RoboCop, a reinforcement learning-based system to detoxify hate speech while preserving semantic meaning, combining a fine-tuned BART model with a custom reward function based on BERTScore and a toxicity classifier. Designed and trained the system under resource-constrained conditions, demonstrating skills in NLP, reinforcement learning, model optimization, and meaning preservation metrics.
Built a simple educational operating system inspired by MIT’s JOS, implementing core kernel components including process isolation, virtual memory, preemptive multitasking, file systems, and basic system call handling. Gained hands-on experience in x86 architecture, low-level C, memory management, concurrency primitives, and debugging with gdb in a bare-metal environment.
Please note that few projects are actually on my private repos on Github as it is some University projects. Don't hesitate to contact me to take a glimpse at the source code.
Copyright - Xavier Ogay - 2022-2025