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Mohamed AIT IHIE

@mohamedaitihie

Results-driven Data & AI Engineer building scalable ML and data pipeline solutions.

Morocco
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What I'm looking for

I seek roles where I can build and productionize ML and data pipelines, work with cloud-native tools (GCP), practice MLOps, and deliver measurable automation and intelligence for business stakeholders.

I am a results-driven Data & AI Engineer with an engineering degree in Computer Science focused on Cloud Computing and Big Data. I specialize in designing and deploying scalable data pipelines and machine learning solutions using Python, Spark, SQL and GCP.

At E-Solution I engineered automated systems that process large document volumes, including an invoice pipeline handling 800+ invoices daily with 96% extraction accuracy and an OpenAI-backed CV classification platform that reduced screening time by 70%.

My work spans computer vision, NLP/Transformers, RAG and generative AI systems, and I emphasize MLOps to operationalize models into production reliably. I have built ELT pipelines, OCR+NLP stacks, and REST APIs to serve structured outputs to enterprise workflows.

I am motivated by solving data-heavy business problems end-to-end, improving efficiency through automation, and delivering measurable impact by blending strong engineering practices with applied AI.

Experience

Work history, roles, and key accomplishments

E-

AI Engineer

E-Solution

Jul 2023 - Aug 2025 (2 years 1 month)

Engineered and deployed automated invoice processing and CV classification platforms that processed 800+ invoices/day with 96% extraction accuracy and reduced candidate screening time by 70%, and implemented RAG-based Q&A and ELT pipelines for competitive intelligence.

Education

Degrees, certifications, and relevant coursework

HM

Higher Normal School of Technical Education (ENSET) — Mohammedia

Engineering Degree in Computer Science, Computer Science (Cloud Computing & Big Data)

2020 - 2023

Engineering degree in Computer Science with specialization in Cloud Computing & Big Data, covering distributed systems, data engineering, and machine learning concepts.

DP

DEUST MIP (Mathematics, Computer Science, Physics)

DEUST, Mathematics, Computer Science, Physics

2018 - 2020

Diploma in DEUST covering Mathematics, Computer Science, and Physics foundational coursework.

FM

Faculty of Science and Technology (FST) — Mohammedia

Undergraduate studies in science and technology prior to engineering specialization.

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Mohamed AIT IHIE - AI Engineer - E-Solution | Himalayas