Beshoy A.

AI Automation enthusiast with hands-on experience building end-to-end intelligent agents and

RAG-based systems for real-world applications. Developed Saudi-dialect AI bots integrating n8n

workflows, Supabase Vector Store, HuggingFace embeddings, and Telegram API to automate

sales, customer support, and dynamic document querying. Skilled in NLP, Computer Vision, and

Machine Learning projects, including OCR, sentiment analysis, object detection, and predictive

modeling. Strong foundation in feature engineering, model evaluation, and translating data into

actionable insights.

Education

Modern Academy

Bachelor's degree in computer science

GPA: 3.73 / 4.0 (Excellent)

EXPERIENCE

Machine Learning Intern - Codyak | Present

• Collaborating on building and optimizing machine learning models for real-world

applications.

Intro to Deep Learning (Intensive Course) | ODC Club Aswan – Present

In-depth study of neural network architectures, optimization algorithms, and deep learning

frameworks.

Machine Learning Intern – Microsoft (DEPI) | Apr 2024 – Oct 2024

• Cleaned, merged, and preprocessed structured datasets for ML pipelines using Python and

pandas.

• Performed EDA, feature selection, and data validation to improve model inputs and reduce

bias.

• Built and evaluated ML models (classification/regression) using scikit-learn and

TensorFlow.

• Collaborated on NLP tasks using transformers and applied prompt engineering techniques.

• Supported model deployment workflows using Azure and MLOps best practices.

Machine Learning Intern – NeuronetiX | Aug 2024 – Sep 2024

• Processed and analyzed real-time datasets; implemented data pipelines for model input.

• Optimized detection algorithms to improve accuracy and inference performance in

production.