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achraf bennouali

@achrafbennouali

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AI Engineer specializing in NLP and machine learning solutions.

Morocco

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What I'm looking for

I seek a dynamic role where I can leverage my AI expertise to drive innovation and contribute to impactful projects.

I am an AI Engineer with a strong focus on natural language processing and machine learning solutions. Currently, I am developing high-accuracy classification systems and optimizing large language models (LLMs) to enhance business efficiency. My work has led to significant reductions in workload for teams, allowing them to concentrate on high-priority tasks.

Throughout my career, I have successfully integrated state-of-the-art LLMs into operational models, automating labor-intensive processes and improving human-machine interactions. My technical expertise includes developing pipelines for data labeling and creating resource-efficient NLP solutions that ensure reliable operations. I thrive in collaborative environments, working with cross-functional teams to deliver innovative AI functionalities.

Experience

Work history, roles, and key accomplishments

Current

Hybrid AI Engineer

Current

Leyton

Sep 2024 - Present (10 months)

Developed an audio classification pipeline with over 85% accuracy, outputting structured JSON and applying optimization techniques for multilingual speech inputs. Collaborated with cross-functional teams to deploy over 7 LLM agents for prospecting, email automation, and code documentation, significantly reducing business team workload.

JSON Email Automation Documentation Optimization Multilingual Speech Processing

GenAI Engineer

HenceForth

Feb 2024 - Aug 2024 (6 months)

Integrated over 6 state-of-the-art LLMs (GPT-4, Llama3, Phi2, Solar) into operational models using PEFT-LoRA and Prompting, reducing processing duration by 216 times. Developed pipelines to label data unsupervised, leveraging crowdsourced LLM annotations for high-quality datasets.

LLMs)LLaMA 2 Solar PEFT LoRA Unsupervised Learning Data Labeling

ML Engineer

EZITEL

Jul 2023 - Sep 2023 (2 months)

Conceptualized and implemented a sentiment analysis model for audio data, adapting transformers for speech sentiment analysis and utilizing spectrograms and RNNs. Developed a PyTorch library to support the implementation and deployment of the sentiment analysis model.

PyTorch Transformers CNN RNN Spectrograms Docker

R&D Engineer

Petromin Oils Maroc

Jul 2022 - Aug 2022 (1 month)

Developed a mathematical model to automate and optimize the delivery cost of the overall oil truck fleet in collaboration with the IT team. Utilized Python with libraries such as NumPy, Matplotlib, Pandas, and Scikit-learn for this project.

Python NumPy Matplotlib Pandas scikit learn LaTeX Mathematical Modeling Optimization

Education

Degrees, certifications, and relevant coursework

Baccalaureate

Baccalaureate, Mathematical Science option B

Achieved a Baccalaureate in Mathematical Science option B. Developed strong analytical and problem-solving skills through rigorous mathematical studies.

National School of Computer Science and Systems Analysis (ENSIAS)

Smart System Engineering, Smart System Engineering

Studied Smart System Engineering with a focus on advanced computing and system analysis. Gained expertise in developing intelligent systems and complex software solutions.

Preparatory Classes

Physics and Engineering Science, Physics and Engineering Science

Completed preparatory classes focusing on Physics and Engineering Science. Developed a strong foundation in scientific principles and engineering concepts.