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Software Development Engineer with less than a year in Node.js, React, and SQL
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Assessing your cultural and operational fit
BOSY AYMAN is an aspiring Software Development Intern with 8 months of experience in developing robust systems using Node.js, React, and SQL Server, and managing network infrastructure. Currently pursuing a B.Sc. in Computer Science with a focus on Data Science and Artificial Intelligence, she has strong technical skills in Python, AI, machine learning, and computer vision. Her project experience includes building intelligent video analytics platforms and participating in various leadership roles, demonstrating a strong foundation in both technical and soft skills.
Zewail City of Science and Technology
B.Sc. · Computer Science, Data Science and Artificial Intelligence
September 1, 2022 – June 1, 2026
Al Nas Hospital
Software Development Intern
August 1, 2025 – September 1, 2025
India
Cairo International Airport
Internship Trainee
August 1, 2025 – August 1, 2025
India
RawiVision Intelligent Video Analytics Platform
June 1, 2026 – Present
Developed an on-premise AI-powered surveillance platform for real-time video analytics, combining live monitoring, employee attendance tracking, anomaly detection, semantic search, and video summarization. Implemented person detection and multi-object tracking with YOLOv8 and StrongSORT, and integrated FaceNet-based facial recognition to automate employee check-in and check-out from RTSP camera feeds. Built a two-stage anomaly detection pipeline using VideoMAE for spatiotemporal event screening and SmolVLM for concise natural-language incident descriptions and dashboard alerts. Designed semantic video search and summarization workflows using pgvector, MinIO, Celery, and RabbitMQ to index footage, retrieve relevant clips, and generate concise reviewable summaries while keeping all data on-premise.
Brain-Tumor Classification
June 1, 2026 – Present
Classified MRI brain tumor images into 4 categories using MobileNetV2; optimized with meta-heuristic algorithms and visualized with Grad-CAM.
Blind Navigation Mobile App
June 1, 2026 – Present
Developed a real-time Android app to assist visually impaired users with indoor navigation. Used YOLOv8 model for object detection and provided audio feedback for mobility support.
BERT-based Chatbot
June 1, 2026 – Present
Developed an NLP chatbot for question answering with model training, evaluation, and deployment.
FitHub Web Application
June 1, 2026 – Present
Created a fitness platform with secure online payments and admin dashboard for trainers and users.
Data Visualization
Coursera
June 1, 2026 – Present
Supervised Machine Learning (Andrew Ng)
Coursera
June 1, 2026 – Present
DELF A2-B1
French Ministry of Education
June 1, 2026 – Present
1st Place – Girls' Chess Tournament
Nile University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in AI/ML and practical application, aligning well with an innovative, tech-driven culture. Their involvement in extracurricular activities and leadership roles suggests a proactive and engaged individual. The diversity of projects, from NLP chatbots to video analytics and mobile apps, indicates adaptability and a broad technical curiosity. However, the lack of professional experience beyond short internships means their fit within a specific corporate culture is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates leadership and organizational skills through their involvement in the Zewail City Chess Club. Their project descriptions indicate a problem-solving mindset and an ability to work on diverse technical challenges. However, the provided data does not offer direct insights into their communication clarity, work attitude, stress handling, or team collaboration in a professional setting, as the assessment scores for these areas are zero.