Open to opportunities

Saim User

@saimuser

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Computer science undergrad focused on HPC, AI engineering, and performance.

Pakistan

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What I'm looking for

I seek roles in Parallel Computing or AI Engineering that emphasize HPC, low-level optimization, and opportunities to build GPU-accelerated, production-ready systems in collaborative, growth-focused teams.

I am a Computer Science undergraduate with practical experience in high-performance computing, AI model fine-tuning, and data engineering. I combine low-level programming in C++ and Assembly with GPU-accelerated solutions to build efficient, reliable systems.

I have delivered end-to-end projects, including a cross-platform travel management application using .NET and Avalonia UI, and a CUDA-accelerated KLT feature tracker that significantly outperformed CPU baselines while preserving accuracy.

My technical toolkit spans C++, Python, CUDA, Assembly (MASM), OpenACC, OpenMP, NumPy-driven data pipelines, and container and versioning tools like Docker and Git. I emphasize profiling, memory-hierarchy optimizations, and parallel design patterns to squeeze performance from hardware.

I am passionate about AI-driven systems, performance optimization, and parallel computing, and I am seeking roles in Parallel Computing or AI Engineering where I can apply HPC techniques and low-level optimizations to real-world problems.

Experience

Work history, roles, and key accomplishments

Current

Undergraduate Researcher

Current

FAST National University of Computer and Emerging Sciences

Aug 2023 - Present (2 years 6 months)

Conducted projects in high-performance computing and AI, including CUDA GPU acceleration of the KLT feature-tracking algorithm that achieved significant speedups while preserving accuracy. Built NumPy-only data preprocessing pipelines and performed performance profiling to identify hotspots.

C++CUDA Python NumPy Performance Profiling Parallel Computing Assembly

Software Developer (Academic Project)

TravelEase (University Project)

Developed a cross-platform travel management application using .NET 8/9 and Avalonia UI, implemented T-SQL backend reports and contributed 50% of UI pages and report views across three user types, improving admin reporting via LiveCharts2.

.NET C++Avalonia T SQL MS SQL Server LiveCharts2 Git Docker

Education

Degrees, certifications, and relevant coursework

National University of Computer and Emerging Sciences (FAST-NUCES)

Bachelor of Science, Computer Science

2023 -

Grade: CGPA: 3.15

Activities and societies: English Teaching Assistant; participated in HPC- and AI-related projects and competitions.

Pursuing a Bachelor’s Degree in Computer Science with coursework and projects focused on high performance computing, AI, and data engineering; current CGPA 3.15.