Member: IEEE, IEEE Computer Society, IEEE Signal Processing Society
Computer Science PhD student in the Advanced Processor Technologies (APT) group at the University of Manchester specializing in High Performance Computing (HPC). My research is focused around compiler and runtime optimizations, and profiling for explicit parallel programs. List of my publications can be found on my Google Scholar profile and some of my contributions in the pepperpots organization on GitHub. I have previous industrial experience in vectorizing and parallelizing applications especially with focus on real time applications and signal processing. It includes writing modern C++ code with use of Advanced Vector Extension (AVX) intrinsics and CUDA.
Marking assignments and assisting academic staff with running undergraduate laboratories in the Department of Computer Science. Teaching assistant for following modules: System-on-Chip Design, Processor Microarchitecture, Operating Systems and Microcontrollers
Summer intern working on lossless image compression for self-driving cars. Developed a highly optimized CPU and GPU encoder and decoder based on the JPEG standard that achieve a real-time performance reducing the size of data saved to the storage device.
Implemented and optimized physical layer algorithms for LTE and 5G NR networks on Intel Architecture using the AVX instruction set in C++. Designed and implemented test framework and Python automation for the project that sped up the delivery process. Developed Matlab simulation of physical layer functions.
Vacation position at the School of Computer Science. Developed, tested and documented drivers for school's Spartan-6 FPGA experimental boards used for teaching. Got exposed to design and verification of sequential systems and Cadence software. Developed drivers for HD44780 LCD display, LED matrix and I2C devices. Soldered boards and created technical documentation.
Postgraduate research student in the Advanced Processor Technologies (APT) Research Group in the Department of Computer Science supervised by Dr Antoniu Pop. Research focus on compiler and runtime optimizations, and profiling for explicit parallel programs.
First Class (86%)
Third year project: "Low-Precision Neural Network Decoding of Polar Codes"
Elected Student Representative at Student Staff Committee in years 2015/16, 2016/17 and 2018/19. Study focused on on mobile systems and networks, computer architecture and microarchitecture, System-on-Chip design and algorithms.
Studied wide range of subjects such as Mathematics, Physics, Computer Science, Chemistry, Biology, Geography, History, Social Sciences and languages. Mainly focused on Mathematics, Physic and Computer Science. Represented school in regional competitions.
Co-organising Peer Support sessions for around 250 2nd year Computer Science students. Planning weekly activities to help students with their studies and finding an employment. Engaging with school staff to get required support and improve students’ experience.
Co-organized four events in Manchester with total of 1000 participants. Managed finances, logistics and relations with external companies. Raised sponsorships and supervised multiple teams working on the event.
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(**) The final authenticated publication is available online at https://doi.org/10.1007/978-3-030-58144-2_11