Hi There,
I'm Abdullah Naveed
i am into
About Me
I’m a Ph.D. student in Computer Engineering at the University of Florida. My research centers on fault tolerance and error resilience for Large Language Models (LLMs) and high-performance computing (HPC) applications, with a complementary focus on data compression for scientific workloads.
I currently collaborate with Argonne National Laboratory on Transformer-based lossy compressors for Advanced Photon Source (APS) X-ray data, working with Dr. Sheng Di and Prof. Guanpeng Li. Previously, I completed my MCS at The University of Iowa (2025) and earned a BS in Computer Science with Distinction from LUMS, Pakistan.
Interests: machine learning systems, reliability for safety-critical AI, scientific data compression, and LLVM-based tooling for dependable systems.
email: abdullahnaveed102@gmail.com
location: Gainesville, FL, USA
University of Florida, Gainesville, FL, USA
Advisor: Prof. Guanpeng Li
Research Lab: Dependable Systems Lab
Research Areas: Fault Tolerance, Error Resilience for Large Language Models (LLMs), HPC Dependability, Scientific Data Compression
The University of Iowa, Iowa City, IA, USA
GPA: 3.90 / 4.00
Selected Coursework: Applied Machine Learning, Compiler Optimization for HPC, Distributed Algorithms, Functional Programming & Algorithm Design, Data Visualization & Technologies
Lahore University of Management Sciences (LUMS), Lahore, Pakistan
GPA: 3.61 / 4.00
Graduated with Distinction
Selected Coursework: Machine Learning, Computer Vision, Data Mining, Data Science, Network-Centric Computing, Blockchain Technology
Build a platform to benchmark Docker tools SPEAKER, CONFINE, and SLIMTOOLKIT. Evaluate based on system call reduction, CVE mitigation, and image size reduction for enhanced container security.
Collaborating with Dr. Sheng Di and Prof. Guanpeng Li on transformer-based lossy compression for APS X-ray data; targeting high-throughput performance while minimizing scientific distortion.
Jun 2025 – Present
Fault tolerance & error resilience for LLMs in safety-critical settings; designing lightweight monitoring and error-detection mechanisms to improve reliability.
Aug 2025 – Present
Built LLVM-based tools for instruction-level resilience analysis; evaluated compiler/ runtime techniques for fault detection in HPC workloads (dependable systems).
Aug 2023 – Aug 2025
Mentored 30+ students on MySQL projects, query debugging, and relational schema design through weekly labs and office hours.
Aug 2023 – Dec 2023
Guided 100+ students via tutorials and office hours on programming and algorithms.
Sep 2022 – Jan 2023
