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MHD Nassoh akbikMA
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MHD Nassoh akbik

@mhdnassohakbik

Applied AI and LLM engineer building production ML systems from data to deployment.

Syrian Arab Republic
Message

What I'm looking for

I seek roles building production ML/LLM systems that leverage large-scale datasets, emphasize deployment reliability, and offer autonomy to design end-to-end pipelines.

I am an Applied AI and LLM engineer focused on building production machine learning systems end-to-end, from dataset engineering to deployment.

I have trained transformer models and fine-tuned domain models such as BioBERT on tens of millions of medical text samples, and developed NLP pipelines processing 100M+ healthcare records.

My projects include medical recommendation systems, speech-to-symptom extraction using Whisper and LLaMA, and predictive models for healthcare claims and financial signals, all deployed in real-world environments.

I bring hands-on experience with HuggingFace, PyTorch, TensorFlow, Docker and scalable cloud architectures, and I design reproducible ML workflows emphasizing evaluation, monitoring and operational reliability.

Experience

Work history, roles, and key accomplishments

MS
Current

Applied AI and LLM Engineer

Manteq Systems

Jan 2025 - Present (1 year 2 months)

Built production ML pipelines processing 100M+ healthcare records and designed end-to-end workflows from data preparation to model evaluation; developed transformer models predicting healthcare claim attributes with ~88% accuracy and an NLP system extracting symptoms from doctor–patient conversations.

Education

Degrees, certifications, and relevant coursework

DU

Damascus University

Information Technology Engineering, Artificial Intelligence

Studied Information Technology Engineering with a focus on Artificial Intelligence at Damascus University.

WorldQuant University logoWU

WorldQuant University

Data Science Program, Data Science

Completed the Data Science program at WorldQuant University focusing on quantitative methods and applied data science techniques.

Tech stack

Software and tools used professionally

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