Mati Ur Rehman
NUST
· 2026
·
419956
Email
mrehman.bese22seecs@seecs.edu.pk
Phone
923431757510
GitHub
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Academic
Program
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CGPA
3.47
Year
2026
Education
Software Engineering
SEECS , Islamabad , 3.47 (2026)
Address
MOHALLAH ALAM SHAH NO 2 TEHSIL PIND DADAN KHANDISTT JHELUM, PAKISTAN , Pind dadan khan , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Software Engineering graduate with a strong competitive-programming record. Multiple first-place finishes, ICPC regional gold (3rd in
Pakistan), and top finishes in national speed contests.
Built projects include a C++ search engine, Dockerized storage/streaming services on GCP, and an ESP32-based irrigation
controller. Open-source contributor to DORA-RS, implemented an Arrow::FFI bridge between C++ and Rust. Experienced with Git
and cloud-native microservices.
Machine-learning and Deep learning Practitioner. Led a team to 1st in the UNOOSA region of the Kibo Robot Programming
Challenge and built a YOLOv5-nano detection pipeline plus an Android controller being prepared for the ISS final.
EDUCATION
Software Engineering
SEECS , Islamabad , 3.47 (2026)
INTERNSHIP EXPERIENCE
TUKL Research and Development Lab
02-Jun-2024 - 08-Sep-2024
Understanding basics of DL using coursework. Identifying research topic related to neural architecture search. Performing literature
review. Implementing the proposed architectures and evaluting them.
FINAL YEAR PROJECT
Disrupting Deepfakes through Adversarial Peturbations
Objective: Developed a defensive framework to protect digital identity by proactively "poisoning" images against malicious Deepfake
manipulation. Technical Stack: Engineered the entire pipeline using PyTorch, focusing on the generation of adversarial perturbations
that are imperceptible to humans but catastrophic for generative AI models. Attack Methodologies: Implemented and optimized
multiple adversarial attack vectors, including Projected Gradient Descent (PGD) and Carlini & Wagner (C&W), specifically adapted for
the constraints of proactive image defense. Target Architectures: Successfully demonstrated the disruption of state-of-the-art
diffusion and image-to-image translation models, including FLUX, Kontext Dev, and InstructPix2Pix.
TECHNICAL EXPERTISE
OpenCV
Made a project which was focused on Object dectection. Used yolov5 nano on edge device for detection.
C++
Did a project for implementing the relevant article search engine using c++. Also lot of competitive programming experience in cpp.
Python
Used python for ML/DL related research projects.
Databases
Used both sql and nosql databases in projects.
AI enrichment
Software Engineering graduate with a strong competitive-programming record. Multiple first-place finishes, ICPC regional gold (3rd in
Pakistan), and top finishes in national speed contests.
Built projects include a C++ search engine, Dockerized storage/streaming services on GCP, and an ESP32-based irrigation
controller. Open-source contributor to DORA-RS, implemented an Arrow::FFI bridge between C++ and Rust. Experienced with Git
and cloud-native microservices.
Machine-learning and Deep learning Practitioner. Led a team to 1st in the UNOOSA region of the Kibo Robot Programming
Challenge and built a YOLOv5-nano detection pipeline plus an Android controller being prepared for the ISS final.
Status: ai_done
Provenance
Source file: —Created: 1777448793