Open to opportunities

Khaled Ghalwash

@khaledghalwash

Fresh AI and machine learning engineer building NLP, computer vision, and data pipelines with Python and cloud solutions.

Egypt

Message

What I'm looking for

I’m looking for an entry-level role where I can build and optimize machine learning and NLP solutions, strengthen data pipelines (ETL/SQL), and deploy AI services on cloud platforms—turning models into real products.

I’m a fresh Computer and Data Science graduate specializing in Artificial Intelligence, ranked among the Top 10 AI students. I build intelligent systems end-to-end—developing and optimizing ML models, designing AI features, and wiring data pipelines to production-ready solutions.

Since Sep 2025, I’ve worked as a Machine Learning Engineer at Softrix AI Solutions, focusing on data preprocessing, feature engineering, model evaluation, and integrating AI into software applications. Along the way, I completed DEPI/Microsoft Data Engineering and Machine Learning trainee programs (including ETL pipeline development with Python and SQL) and built AI projects such as an AI-powered employment platform with a RAG chatbot, AI CV generator, sign language recognition, and intrusion detection, plus an AI medical chatbot using NLP.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Softrix AI Solutions

Sep 2025 - Present (10 months)

Develops and optimizes machine learning models for real-world applications. Builds and integrates AI pipelines into software applications using Python.

Machine Learning data preprocessing Feature Engineering Model Evaluation AI Pipelines Python

Machine Learning Trainee

Digital Egypt Pioneers Initiative

Jan 2024 - Jan 2025 (1 year)

Developed machine learning models using Python and Scikit-learn. Applied data preprocessing, feature engineering, and model evaluation techniques.

Machine Learning Python scikit learn data preprocessing Feature Engineering Model Evaluation

Data Engineering Trainee

Digital Egypt Pioneers Initiative

Jan 2026 - Present (6 months)

Completed a 6-month intensive data engineering program focused on ETL, data processing, databases, and data modeling. Developed ETL pipelines using Python and SQL.

ETL Data Pipelines Python SQL Data Processing Databases Data Modeling

Cloud Computing Trainee

National Technology Institute

Jan 2025 - Present (1 year 6 months)

Studied cloud computing concepts including architecture, networking, storage, and deployment. Covered foundational principles for designing and deploying cloud-based solutions.

Cloud Architecture Networking Storage Deployment

Data Analysis Trainee

ELAB

Jan 2024 - Present (2 years 6 months)

Performed data cleaning, analysis, and visualization using Python. Applied statistical analysis techniques to extract insights from datasets.

Data Cleaning Data Analysis Data Visualization Python Statistical Analysis

UI/UX Design Trainee

Information Technology Institute

Jan 2024 - Present (2 years 6 months)

Designed user interfaces and prototypes using Figma. Applied UX principles to improve usability and user experience.

UI Design Prototyping Figma

Education

Degrees, certifications, and relevant coursework

Digital Egypt Pioneers Initiative (DEPI)

Microsoft Machine Learning Track (Training), Machine Learning

2024 - 2025

Completed the Microsoft Track Machine Learning training at DEPI (2024–2025). Developed ML models using Python and scikit-learn with data preprocessing, feature engineering, and model evaluation.

National Technology Institute (NTI)

AWS Certified Cloud Practitioner (Training), Cloud Computing

2025 -

Completed cloud computing training at NTI in 2025, aligned with AWS Certified Cloud Practitioner content. Studied cloud architecture, networking, storage, and deployment concepts.

Digital Egypt Pioneers Initiative (DEPI)

Microsoft Data Engineering Track (Training), Data Engineering

2026 -

Completed a 6-month intensive Microsoft Track Data Engineering program at DEPI. Built ETL pipelines using Python and SQL and worked with data processing, databases, and data modeling.

ELAB

Data Analysis Training, Data Analysis

2024 -

Completed Data Analysis training in 2024 focused on data cleaning, analysis, and visualization using Python. Applied statistical analysis techniques to extract insights from datasets.

Information Technology Institute (ITI)

UI/UX Design Training, UI/UX Design

2024 -

Completed UI/UX design training in 2024 using Figma to design user interfaces and prototypes. Applied UX principles to improve usability and overall user experience.

Alexandria National University

Bachelor of Science (BSc), Computer and Data Science (Artificial Intelligence)

2022 - 2026

Grade: GPA: 3.6/4.0; Top 10 (AI Dept.)

BSc in Computer and Data Science with a focus on Artificial Intelligence at Alexandria National University (2022–2026). GPA 3.6/4.0 and ranked among the top 10 students in the AI department.