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Shehr UserSU
Open to opportunities

Shehr User

@shehruser

I build autonomous space AI, production MLOps pipelines, and fault-tolerant edge systems.

Pakistan
Message

What I'm looking for

I'm open to remote, relocation, and global opportunities where I can build resilient AI, edge computing, MLOps, and space systems while contributing to meaningful technical innovation.

I'm researching autonomous satellite AI at Shanghai Jiao Tong University's Smart Satellite Technology Centre, where I develop and deploy optimized PyTorch and Transformer models for constrained Huawei Ascend and RISC-V environments. I also co-founded Cognivox, an NIC-incubated voice AI learning companion that piloted its RAG and knowledge-graph pipeline across two institutions with 600+ faculty and students.

I've delivered MERN systems for Pakistan's national GIS and space research ecosystem, improving page-load velocity by 35% and reducing deployment errors by 40%, while building production MLOps, RISC-V microkernel, and processor projects. As an IEEE Standards Association Voting Member and SEDS Pakistan co-founder, I connect hands-on engineering with resilient systems, space technology, and global technical governance.

Experience

Work history, roles, and key accomplishments

ST
Current

Research Intern

Smart Satellite Technology Centre (SSTC), Shanghai Jiao Tong

Jul 2026 - Present (1 month)

Researched AI methods for autonomous space systems, developing and evaluating models with PyTorch, Transformers, and Deep Reinforcement Learning for resource-constrained onboard computing. Applied model quantization and deployed models on Huawei Ascend hardware via CANN, and integrated with RISC-V, QEMU, and FreeRTOS.

Education

Degrees, certifications, and relevant coursework

Namal University logoNU

Namal University

Bachelor of Science, Computer Science

2023 -

Pursuing a Bachelor of Science in Computer Science with a 100% full-tuition merit scholarship.

JC

Jinnah Education System, Sir Syed Campus

Intermediate in Computer Science, Computer Science

2021 - 2023

Grade: A+

Completed Intermediate in Computer Science with Grade A+ (Exceptional Distinction).

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