Open to opportunities

Osama Elhadidy

@osamaelhadidy

Message

I build secure full-stack platforms and AI-powered applications using Java, Python, cloud services, and LLMs.

Egypt

Message

What I'm looking for

I'm looking to build secure, scalable software and AI-powered products where I can apply full-stack engineering, cloud, deep learning, and LLM experience while continuing to grow.

I've built AI-powered and full-stack platforms including CodoSphere, an e-commerce application with a LangGraph shopping assistant, Amazon Bedrock inference, secure JWT authentication, RBAC, and auditable checkout workflows.

During internships at EJADA and Alexandria University, I configured T24 core banking workflows, resolved 90% of critical sandbox integration issues, and built a reproducible computer vision data pipeline. I benchmarked ViT-P and Mask R-CNN models and applied Transformers and LLMs to Generative AI and Autonomous Vehicle research, improving fine-tuning efficiency by 8%.

I also develop healthcare and smart parking systems using Java, Spring Boot, REST APIs, MySQL, React, NestJS, PostgreSQL, AWS, and Docker. I'm completing a Computer and Systems Engineering degree at Alexandria University.

Experience

Work history, roles, and key accomplishments

Software Engineering Intern

EJADA

Aug 2025 - Sep 2025 (1 month)

Applied SDLC best practices to configure core banking system (T24) workflows, resolving 90% of critical sandbox integration issues and reducing deployment failure rate by 15% in the staging environment. Delivered functional demos and documented structured technical takeaways to track development progress and improve collaboration.

SDLC T24 Integration Deployment Documentation Collaboration

Deep Learning Engineering Intern

Alexandria University

May 2025 - Aug 2025 (3 months)

Engineered a reproducible Computer Vision data pipeline for high-quality labeling and benchmarked state-of-the-art models, including ViT-P and Mask R-CNN, to select an optimal solution. Applied deep learning techniques, including Transformers and LLMs, to Generative AI and Autonomous Vehicle research, improving fine-tuning efficiency by 8%.