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Mohamed Sobhy

@mohamedsobhy

AI engineer and product builder focused on ML systems and computer vision.

Hong Kong
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What I'm looking for

I seek a role building production ML and computer vision systems where I can own end-to-end implementation, work cross-functionally, and grow in research-to-product impact within a collaborative, fast-paced team.

I am an AI engineer and product-minded builder with hands-on experience designing end-to-end ML systems, computer vision pipelines, and LLM-based applications. I have built production-oriented solutions including OCR document automation, demand forecasting frameworks, and factory CV QA automation.

My background spans research and industry: I implemented steerable decoders for LLMs at ETH Zürich, built LangChain-based Chinese copywriting and latent-diffusion image generation pipelines, and created observability and experiment versioning with MLflow on Azure. I combine clean-architecture engineering with practical ML experimentation.

I win in competitive, fast-paced environments — hackathon prizes and multiple programming contest medals reflect my problem-solving and delivery focus. I am eager to join teams that value rigorous ML engineering, product impact, and rapid iteration.

Experience

Work history, roles, and key accomplishments

AL

AI Engineer Intern

Ansel Intelligence LLC

Jun 2024 - Aug 2024 (2 months)

Developed an LLM-based demand forecasting framework addressing limited historical data and implemented an MLFlow observability pipeline on Azure for experiment versioning.

ETH Zürich logoEZ

Research Fellow

ETH Zürich

Jul 2023 - Aug 2023 (1 month)

Collaborated with LMQL creators to implement steerable decoders for LLMs and developed a beam-search variant integrating sentiment classifiers into decoding.

Education

Degrees, certifications, and relevant coursework

Hong Kong University of Science and Technology logoHT

Hong Kong University of Science and Technology

Bachelor of Engineering, Computer Science / Artificial Intelligence

2021 - 2025

Activities and societies: Coursework: Honors Discrete Mathematical Tools for Computer Science; Honors Software Engineering; Deep Learning in Computer Vision; Reinforcement Learning; Large-Scale Machine Learning for Foundation Models.

Pursuing a Bachelor of Engineering in Computer Science with AI specialization, completing coursework in discrete math, software engineering, deep learning, reinforcement learning, and large-scale ML for foundation models.

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