Computer science researcher investigating comparison-based adaptive sorting, low-resource multilingual NLP architectures, and scalable full-stack web platforms.
Malik Mir Hamza Nayab is a computer science researcher and software engineer who graduated with a Bachelor of Science in Computer Science from COMSATS University Islamabad, Abbottabad Campus (CGPA 3.72/4.0), and was recognized as Salutatorian at Edwardes College Peshawar. His academic background is grounded in core computing fundamentals, spanning advanced Data Structures & Algorithms, Operating Systems, Parallel & Distributed Computing, and Compiler Construction.
Hamza’s research focuses on algorithmic optimization and low-resource multilingual machine learning. As first author, he developed LadderSort, a novel deterministic adaptive sorting algorithm in C++ that dynamically adapts to the minimum number of nondecreasing subsequences, proving algorithmic optimality and achieving up to 1.45× wall-clock speedups over std::sort and TimSort on 100M-element workloads. In NLP, he formulated the Dialect Robustness Index (DRI) to benchmark Arabic Pre-trained Language Models and published the largest open-access Roman Urdu GoEmotions dataset (54,263 samples) on Zenodo.
In parallel, Hamza engineers production software. As sole developer, he built and launched MiddelMen (TrustThread), a social-commerce platform leveraging React/Vite, Node.js/Express, and Serverless PostgreSQL. As Interim Lead and Co-Lead for Google Developer Groups on Campus (GDGoC) at COMSATS Abbottabad, he directed multi-track technical bootcamps and spearheaded regional industry collaborations.
std::sort and TimSort on Apple M1 architectures handling datasets up to 100M elements.
MiddelMen (TrustThread)