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I am an innovative Junior AI Engineer and Python Backend Developer specializing in building intelligent and scalable systems. With a strong background in machine learning and AI, I enjoy engineering efficient backend solutions that empower dynamic problem-solving and decision-making based on evolving scenarios. I am passionate about collaborating with multidisciplinary teams to translate product requirements into robust solutions. I have experience designing EEG-based diagnostic models using explainable AI techniques to accelerate early diagnoses and have actively participated in international programming competitions with notable rankings. Constantly learning and honing my skills, I embrace challenges in AI backend development and always strive to optimize system performance and reliability.…I am an innovative Junior AI Engineer and Python Backend Developer specializing in building intelligent and scalable systems. With a strong background in machine learning and AI, I enjoy engineering efficient backend solutions that empower dynamic problem-solving and decision-making based on evolving scenarios. I am passionate about collaborating with multidisciplinary teams to translate product requirements into robust solutions. I have experience designing EEG-based diagnostic models using explainable AI techniques to accelerate early diagnoses and have actively participated in international programming competitions with notable rankings. Constantly learning and honing my skills, I embrace challenges in AI backend development and always strive to optimize system performance and reliability.

Ahmed Guebsi

Developer, Back-End Developer, AI Engineer, +1

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I am an innovative Junior AI Engineer and Python Backend Developer specializing in building intelligent and scalable systems. With a strong background in machine learning and AI, I enjoy engineering efficient backend solutions that empower dynamic problem-solving and decision-making based on evolving scenarios. I am passionate about collaborating with multidisciplinary teams to translate product requirements into robust solutions. I have experience designing EEG-based diagnostic models using explainable AI techniques to accelerate early diagnoses and have actively participated in international programming competitions with notable rankings. Constantly learning and honing my skills, I embrace challenges in AI backend development and always strive to optimize system performance and reliability.…I am an innovative Junior AI Engineer and Python Backend Developer specializing in building intelligent and scalable systems. With a strong background in machine learning and AI, I enjoy engineering efficient backend solutions that empower dynamic problem-solving and decision-making based on evolving scenarios. I am passionate about collaborating with multidisciplinary teams to translate product requirements into robust solutions. I have experience designing EEG-based diagnostic models using explainable AI techniques to accelerate early diagnoses and have actively participated in international programming competitions with notable rankings. Constantly learning and honing my skills, I embrace challenges in AI backend development and always strive to optimize system performance and reliability.

Available to hire

I am an innovative Junior AI Engineer and Python Backend Developer specializing in building intelligent and scalable systems. With a strong background in machine learning and AI, I enjoy engineering efficient backend solutions that empower dynamic problem-solving and decision-making based on evolving scenarios. I am passionate about collaborating with multidisciplinary teams to translate product requirements into robust solutions.

I have experience designing EEG-based diagnostic models using explainable AI techniques to accelerate early diagnoses and have actively participated in international programming competitions with notable rankings. Constantly learning and honing my skills, I embrace challenges in AI backend development and always strive to optimize system performance and reliability.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

French

Fluent

English

Fluent

Work Experience

AI Backend Developer at Avaxia-Group

May 1, 2024 - Present

Engineered scalable, Python-based backend systems to deploy agentic AI capable of dynamic problem-solving and decision-making based on evolving scenarios. Led integration of Flask and FastAPI endpoints to optimize interactions with large language models (LLMs), streamlining data flows. Collaborated with multi-disciplinary teams to translate product requirements into robust solutions. Assisted in identifying and addressing performance bottlenecks, optimizing code for efficiency, and implementing solutions to enhance system performance.

AI Backend Developer at Avaxia-Group

May 1, 2024 - Present

Engineered scalable, Python-based backend systems to deploy agentic AI capable of dynamic problem-solving and decision-making based on evolving scenarios. Led integration of Flask and FastAPI endpoints to optimize interactions with large language models (LLMs), streamlining data flows. Collaborated with multidisciplinary teams, translating product requirements into robust solutions. Assisted in identifying and addressing performance bottlenecks, optimizing code efficiency, and implementing solutions to enhance systems' performance.

Machine Learning Researcher Intern at REGIM Laboratory

October 1, 2023 - September 5, 2025

Designed a state-of-the-art system analyzing Electroencephalogram (EEG) signals for ADHD detection with explainable AI. Pre-processed and processed time series data including data cleaning, Variational Mode Decomposition (VMD), and Independent Component Analysis (ICA). Achieved 97% prediction accuracy applying CNN, LSTM, and EEGNet models alongside feature engineering techniques such as PCA and RFE. Enhanced transparency using tools like SHAP, LIME, and Integrated Gradients to justify model decisions, improving interpretability for healthcare professionals.

Machine Learning Researcher Intern at REGIM Laboratory

October 1, 2023 - August 5, 2025

Designed a state-of-the-art system analyzing Electroencephalogram (EEG) signals for ADHD (Attention Deficit Hyperactivity Disorder) detection with explainable AI. Pre-processed and processed time series data (data cleaning, Variational Mode Decomposition (VMD), ICA). Achieved 97% prediction accuracy by applying models like CNN, LSTM, and EEGNet alongside feature engineering techniques (e.g., PCA, RFE). Enhanced transparency using tools like SHAP, LIME, and Integrated Gradients to justify model decisions, improving interpretability for healthcare professionals.

Data Science Intern at Datasphera

August 1, 2022 - September 5, 2025

Built an NLP-based chatbot incorporating sentiment analysis to enhance customer experience, reducing response time by 30%. Applied various text pre-processing and processing techniques including stop words removal, tokenization, lemmatization, and stemming. Fine-tuned BERT models using LoRA and optimized performance through quantization and Flask-based APIs. Monitored deployments using MLflow and AWS S3 to ensure system reliability.

Data Science Intern at Datasphera

August 1, 2022 - August 5, 2025

Built an NLP-based chatbot incorporating sentiment analysis to enhance customer experience, reducing response time by 30%. Applied various text pre-processing and processing techniques (stop words removal, tokenization, lemmatization, stemming). Fine-tuned BERT models using LoRA and optimized performance through quantization and Flask-based APIs. Monitored deployments using MLflow and AWS S3 to ensure system reliability.

Web Development Intern at Innovup

September 1, 2021 - September 5, 2025

Developed a collaborative project management platform using the MEAN stack, enabling seamless communication and task management. Integrated secure user authentication (OAuth, JWT) and real-time updates through webhooks and push notifications.

Web Development Intern at Inovup

September 1, 2021 - August 5, 2025

Developed a collaborative project management platform using MEAN Stack, enabling seamless communication and task management. Integrated secure user authentication (OAuth, JWT) and real-time updates through webhooks and push notifications.