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bahaa samirBS
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bahaa samir

@bahaasamir

I build GPU-optimized LLM inference, distributed training, and ML infrastructure.

Egypt
Message

What I'm looking for

I'm looking to build performance-focused ML systems spanning LLM inference, GPU computing, distributed training, serving, retrieval, evaluation, and ML infrastructure.

I've built open-source ML systems for GPU-accelerated LLM inference, distributed training, serving, RAG, evaluation, and parameter-efficient fine-tuning. My CUDAForge runtime achieved an 8.43× attention speedup and 4.68 ms P50 latency, while EvalAgent-Platform delivered 72% faster evaluation and 10K+ trajectory events per second.

My work combines Python, C++/CUDA, PyTorch, Triton, Ray, DeepSpeed, and FSDP to improve latency, throughput, memory efficiency, and GPU utilization. Through research roles at Zagazig University and Ain Shams University, I've also built inference, calibration, uncertainty, and statistical benchmarking pipelines for large genomic and clinical datasets.

Experience

Work history, roles, and key accomplishments

IS
Current

AI/ML Systems Engineer

Independent / Open Source

Jan 2023 - Present (3 years 7 months)

Architected and implemented open-source ML systems across GPU-accelerated inference, distributed training, LLM serving, RAG, evaluation, and PEFT; benchmarked end-to-end system performance across throughput, latency, memory efficiency, and serving capacity.

Education

Degrees, certifications, and relevant coursework

MU

MTI University

Bachelor of Medicine, Bachelor of Surgery, Medicine

2019 - 2024

Activities and societies: Concurrent Academic Program in Artificial Intelligence & Computer Science covering Machine Learning, Deep Learning, Data Structures & Algorithms, C/C++, Operating Systems, Computer Architecture, Parallel & Distributed Computing, and Applied Mathematics.

Pursued a Bachelor of Medicine, Bachelor of Surgery (M.B.B.S.) degree while concurrently completing a program in Artificial Intelligence and Computer Science.

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