Sara Abdelaal

Sara Abdelaal
AI Systems Engineer

// Computer Vision · NLP · Edge Systems

ABOUT

AI Systems Engineer focused on architecting high-performance, real-time Computer Vision and Edge AI systems, specializing in low-latency, on-premises AI, model optimization, and end-to-end vision pipelines for resource-constrained edge environments and industrial applications. Computer Science Engineering background from Ain Shams University (Computer Systems), with an A+ graduation project, and was awarded 1st Place — Best Research Paper at IUGRC-9, Military Technical College, in 2025.

01

PROFESSIONAL TRAINING AND LEADERSHIP ROLES

Computer Vision (Advanced AI)
National Telecommunication Institute - Smart Village
Completed the intensive 3-month HireReady Initiative: CV architectures, embedded AI, and end-to-end model deployment.
Technical Implementation Lead · Solution Quality Member
NASA Space Apps Cairo - Zewail City
Architected an AI-driven decision support system (Python Dash/Plotly + Gemini AI) to automate qualitative analysis for 50+ solutions, with a real-time Google Sheets API pipeline orchestrating evaluation across 20+ judges.
Professional Judge - Global Robotics Challenge
British University in Egypt
Selected as expert evaluator for the competitive programming track, adjudicating 20+ contestants across 5+ teams.
Machine Learning AND NLP
National Telecommunication Institute - Nasr City
Advanced 2-month program covering ML for data analysis, natural language processing, and technical career development.
02

FEATURED PROJECTS

Three flagship builds spanning autonomous driving, industrial safety monitoring, and retail computer vision.

ADAS · Autonomous Smart Vehicle
1ST PLACE - MTC IUGRC-9
Supervised by Dr. Karim Emara (Associate Professor of Computer Science @ ASU)
The ChallengeConsumer car hardware has no safety intelligence - no obstacle awareness, no driver-assist features, and no way to verify who's operating it.
The ApproachBuilt a dual-processor pipeline (Raspberry Pi + STM32) running YOLOv8 for object and sign detection, fused with LiDAR + camera sensor data for adaptive safety, plus a mobile telemetry app and a custom Face-ID system for biometric-secured ignition.
The Impact<300ms processing latency, a 25% faster system response, and 1st Place - Best Research Paper at MTC IUGRC-9, honored by General Ahmed Khalifa, Chief of Staff of the Armed Forces.
PROJECT DEMO

Watch the ADAS prototype & demo on YouTube

PolicyEye · AI Safety AND Monitoring System
ON-PREMISES
Advised by Dr. Mohamed Zorkany (Head of Electronics, NTI Egypt) & Dr. Ashraf Mohamed (AI Lead, Areeb Technology)
The ChallengeIndustrial sites need PPE-compliance monitoring, but cloud-based vision pipelines mean sending sensitive facility footage off-site - unacceptable for security-conscious operations.
The ApproachDesigned a fully cloud-free pipeline using YOLOv11 + SORT tracking for real-time PPE detection, custom-trained on 5,000+ images with Mosaic Augmentation, backed by a FastAPI + MongoDB stack for automated violation logging and dashboard alerts.
The Impactdata sovereignty, a real time in monitoring latency.
Product Classification AND Verification
1ST RANK - ASU 2024
Guided by Dr. Dina Khattab (Associate Professor of Computer Vision @ ASU)
The ChallengeBuild a vision model that can both classify a product's category and verify it matches what's claimed - a two-part problem competing teams typically solve separately.
The ApproachEngineered a combined classification-and-verification engine for the ASU Computer Vision Competition, tuned for accuracy under real-world product imagery variation.
The Impact1st Rank out of the competing cohort - ASU FCIS Computer Vision Competition 2023–24.
03

HONORS AND AWARDS

1ST PLACE - BEST RESEARCH PAPER

IUGRC-9, Military Technical College

Honored by General Ahmed Khalifa, Chief of Staff of the Armed Forces, for "Remotely Controlled Car with Advanced Driver Assistance Systems Features." · 2025

1ST RANK - COMPUTER VISION

ASU Competition-24

Developed an optimized product classification and verification engine under Dr. Dina Khattab. · 2024

04

SKILLS

Bold-outlined = core stack, used across multiple shipped projects

AI, VISION AND GENAI
YOLOPyTorchTensorFlowOpenCVFaceNetSORT TrackerCNNsRNNsAutoencodersU-NetDCGANVAEResNetTransfer LearningScikit-LearnKeras
EMBEDDED AND EDGE AI
Raspberry PiSTM32LiDARESP32TFLiteONNXUARTI2CSPIPWM
SOFTWARE ENGINEERING
PythonFastAPIC++DockerLinuxStreamlitGitMongoDBSQL
ENGINEERING LEADERSHIP
Technical Project ManagementCross-Functional LeadershipSystems ArchitectureTechnical Documentation
05

CERTIFICATIONS & TRAINING

certifications spanning applied AI, research, competitions, and leadership programs.

AI & Data Science
Elements of AI Course - Tech Pathways MENA
Village Capital × MinnaLearn × Google.org
2025
Skill-Up AI & Business
Microsoft Egypt × Tawar & Bayar × Ministry of Youth & Sports
Aug 2025
Python for Data Science and Machine Learning
Udemy - 17.5 hrs
Aug 2024
Digitopia - Software & AI Track
Egypt Ministry of Communications & IT - Stage 2, 1st Edition
2025
Python Programming
Information Technology Institute (ITI)
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Competitions & Research
1st Rank - Product Classification & Verification
Computer Vision Competition, ASU FCIS
2023–24
Paper Acceptance - RC Car with ADAS Features
IUGRC-9, Military Technical College
Jul 2025
Judge - Global Robotics Challenge
British University in Egypt × Discovery
May 2025
Computer Vision Summer Training
ASU FCIS - Certificate of Appreciation
2024
Beyond Earth Hackathon - AI & Embedded Systems
RoboTech FCIS ASU × World Space Week × United Nations
Nov 2023
IOT Summer Training - RoboTech'23
RoboTech, FCIS ASU
2023
Leadership & Career Development
Generative-AI Track - IEEE Mentoring-Meet
IEEE YP Egypt × IEEE Benha University SB
Jun 2025
She Leads Vol.3
iCareer - leadership & career advancement
Oct 2025
LinkedIn Session
Google Developers Groups on Campus, Al-Azhar University
2025
Employability Skills Training
Ain Shams University Career Center
Jul 2022

InnovEgypt Tech-Entrepreneurship Program

ITIDA & TIEC, Creativa Hub - 45 hours

Intensive external training program completed during the summer break.

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