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Omar Orensa

@omarorensa

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Software engineer focused on machine learning and AI; integrated CLIP loss into DF-GAN for text-to-image synthesis.

Egypt

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What I'm looking for

I aspire to contribute to cutting-edge projects in machine learning and AI, applying technology to solve real-world problems.

At ITWorx, I contributed to a full-stack web application using ReactJS and FastAPI, designed PostgreSQL schemas, and developed Python backend APIs. In an earlier internship there, I used Java and OpenAI APIs to summarize video transcripts.

For my bachelor thesis, I integrated CLIP loss into DF-GAN to improve semantic alignment in text-to-image synthesis, evaluated results with FID and CLIP similarity scores, and applied Real-ESRGAN for visual post-processing.

I also built an airline Graph-RAG assistant over a Neo4j knowledge graph, combining Cypher templates, vector search, and an LLM synthesis layer. I’m looking to contribute to cutting-edge projects in machine learning and AI.

Experience

Work history, roles, and key accomplishments

Summer Intern

Dell Technologies

Jul 2025 - Aug 2025 (1 month)

Gained hands-on exposure to AI, cloud computing, data science, and cybersecurity in an enterprise context. Collaborated in a team to design and pitch a consulting-style technology solution to a business panel.

AI Cloud Computing Data Science Cybersecurity Data Center Architecture Virtualization Software Engineering

Software Engineer Intern

ITWorx

Jul 2024 - Aug 2024 (1 month)

Contributed to a full-stack web application using ReactJS and FastAPI. Designed and implemented database schemas using PostgreSQL and developed backend APIs in Python.

React fastAPI PostgreSQL Python API Development Fullstack Development

Education

Degrees, certifications, and relevant coursework

German University in Cairo

B.Sc., Media Engineering and Technology – Computer Engineering

2021 - 2026

Grade: 1.51/5.0 (GUC scale) ~ 3.5/4.0 US scale

Graduated with a B.Sc. in Media Engineering and Technology – Computer Engineering, with honors and a GPA of 1.51/5.0 (GUC scale) ~ 3.5/4.0 US scale. Bachelor thesis grade: A+.

Coursera – Stanford University

Machine Learning Specialization, Machine Learning

Completed the Machine Learning Specialization, covering supervised, unsupervised, and advanced deep learning techniques. Applied Python and TensorFlow for hands-on model implementation.