Software Engineer | Cloud & 5G Core Developer
(+2) 01112232652 • mostaphaashraf1996@gmail.com
Hey! This is Mostafa Ashraf — a passionate software engineer. Mostafa is a Software Engineer specializing in modern C++ systems, cloud-native architectures, with hands-on experience in 5G Core/OpenRAN technologies.
He holds a B.Sc. in Computer and Systems Engineering from Ain Shams University and is currently pursuing his M.Sc. in the same field. He has hands-on experience building large-scale, performance-critical systems, including contributions to OpenAirInterface (OAI), ns-O-RAN/FlexRIC platforms, and telecom cloud-native modules such as Charging Function (CHF). His work spans system-level design, distributed systems, CI/CD pipelines, and containerized environments using Docker and Kubernetes. Mostafa is an active open-source contributor and a former Google Summer of Code (GSoC) contributor and mentor, contributing to projects such as CGAL and GraphicsFuzz, and mentoring within Jenkins. He also presented his work at the OAI 10th Anniversary Workshop in France. In addition to his engineering role, he serves as an instructor at the National Telecommunication Institute (NTI) and a Teaching Assistant at Ain Shams University, where he teaches advanced topics including distributed systems and high-performance computing. His technical expertise includes modern C++ (11/14/17), system design, multithreading, networking, Linux systems, debugging tools (GDB, Valgrind, ASAN/TSAN), and full-stack exposure (Node.js, React). He is also experienced in cloud and DevOps practices, including AWS (EC2, S3, SageMaker), Docker, Kubernetes, and CI/CD pipelines. Mostafa is an AWS Certified Cloud Practitioner and is currently preparing for the AWS Solutions Architect certification. He continuously builds expertise in scalable distributed systems, telecom platforms, and cloud-native architectures, with a strong interest in system architecture and technical leadership.Teach core software development fundamentals for multiple technical tracks. Delivered specialized training in Applied Data Science, DevOps, and Cloud. Prepared candidates for AWS certifications, including: AWS Cloud Practitioner, AWS Developer, AWS Solutions Architect Designed course materials, hands-on labs, and real-world use cases.
Designed and implemented a custom communication protocol over LoRa mesh networks, following OSI layered architecture. Developed Qt-based desktop applications for protocol control, visualization, and monitoring. Contributed to ns-O-RAN / FlexRIC open-source projects: Implemented E2AP v1.01 and KPM-RC v3 support. Developed KPI-based handover decision logic. Implemented an Energy Saving xApp for 5G RAN optimization. Integrated RIC-TaaP with FlexRIC by OpenAirInterface (OAI) for LTE/5G simulation and testing. Presented Energy Saving xApp at OAI 10th Anniversary Workshop (France) Currently developing a Charging Function (CHF) for traffic calculation and quota management in OAI Core, Docker, IaC, CI/CD. Conducted code reviews, refactored legacy components, and mentored interns.
Taught Distributed Computing, Data Structures & Algorithms, High-Performance Computing, and Advanced Programming. Developed course materials, labs, activities, and supervised student projects.
Built full-stack applications using ReactJS, NodeJS, and SQL databases. Integrated REST APIs and WebSockets to connect embedded devices with UI. Configured a local network for 50+ PCs using routers and switches.
Guided contributors on code reviews, documentation and integrating projects into Jenkins (plugin health score probes).
Refactored the CGAL open-source computational geometry library following the Model–View–Presenter (MVP) design pattern. Enhanced the library to support runtime configurable features and UI integration. Applied template metaprogramming, added new features, fixed bugs, and enabled OpenGL support.
Provided support and contributions to SPIRV-Fuzz, a tool used to explore vulnerabilities in GPU drivers on Android and PC platforms. Applied metamorphic testing principles to generate diverse shader inputs and uncover subtle driver and compiler issues. Contributed to Shadertrap by developing and integrating GLSL shaders into the Google codebase. Designed GPU shader programs executed directly on the GPU. Identified and reported bugs in SwiftShader and spirv-opt.
AWS training and ML engineering tasks as part of MCIT program.
AWS re/Start BootCamp (cloud fundamentals & job readiness).
COM-IoT (Kalman filter), Resala (C++ instructor), Udacity Student Ambassador, GirlScript contributor, freelancing pilot program.
EEG-based brain-controlled smart wheelchair — autonomous & manual modes, ML for control and safety features.
Open-source simulator and RIC testing integration (E2AP, KPM v3). Link: ns-O-RAN-flexric
Custom C++ CHF integrated with NRF & SMF for traffic calculation and quota management (OpenAirInterface core).
Deep-learning Python package implementing layers, activations, training loop (pip package available).
Flask apps deployed on AWS, demoing ML pipelines and web integration.
Search across 100k+ files using trie, PostgreSQL and C++/Qt UI.
Electrical Engineering (Computer & Systems Engineering) — 2024–2026
Computer & Systems Engineering — Graduated 2021 (Graduation Project: BrainWheel — Excellent)
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