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Mina NagyMN
Open to opportunities

Mina Nagy

@minanagy

AI engineer and backend developer building secure, scalable ML systems.

Egypt
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What I'm looking for

I’m looking for a role where I can build secure, high-performance back-end systems and apply ML/NLP and computer vision to ship practical, data-driven products.

I’m a passionate AI Engineer and Backend Developer with a strong foundation in Machine Learning, Deep Learning, and scalable system design. I’m currently studying at Faculty of Computer Science & Artificial Intelligence, Pharos University (CGPA: 3.36), and I focus on turning AI into real, deployable applications.

My projects blend AI/NLP and secure back-end development: I built an AI-powered PDF summarization system with LLaMA 3.3 (via Groq API) using Flask and Streamlit, including OCR and PDF parsing. I also created an end-to-end video translation/dubbing system using LLaMA (via Groq API) and Whisper for speech-to-text and multilingual translation. For computer vision, I developed a football match analysis system that detects and tracks players, estimates speed, generates heatmaps, and produces tactical recommendations using Claude LLM.

I care about security and practical engineering outcomes—I developed a cybersecurity learning platform and earned ethical hacking/offensive security certifications. I’m excited to build secure, high-performance back-end systems and deliver impactful, data-driven solutions using Python, Java, and C#.

Experience

Work history, roles, and key accomplishments

PU

Read My Finger OCR System

Pharos University

Built a Python OCR application that captures text in real time from a laptop camera and converts extracted characters into simulated keyboard input.

PU

Hackademy Cybersecurity Platform

Pharos University

Developed a full cybersecurity learning platform website with structured educational content and interactive features for ethical hacking and security awareness training.

PU

Smart Barista Analytics System

Pharos University

Developed a real-time tracking and analytics system for a barista workspace using YOLOv8 with ByteTrack, DeepSORT, and BoT-SORT to count customers and detect orders.

PU

AI Video Translation Dubbing System

Pharos University

Built an end-to-end video translation and dubbing system using LLaMA 3 via Groq API and Whisper-based speech recognition for real-time transcription and multilingual translation.

PU

Football Match Analysis System

Pharos University

Developed an AI-powered football analysis system that detects and tracks players, estimates speed in km/h, generates heatmaps, detects match events, and provides tactical recommendations using Claude LLM.

RC

Back-end (.NET Core) Certificate

Route IT Training Center

Completed a back-end certificate course focused on .NET Core.

Education

Degrees, certifications, and relevant coursework

Pharos University logoPU

Pharos University

Computer Science & Artificial Intelligence

2022 - 2026

Grade: CGPA: 3.36

Activities and societies: Graduation project: Hackademy (cybersecurity learning platform). Other projects include real-time OCR (Python), smart barista analytics with YOLOv8+ByteTrack/DeepSORT/BoT-SORT, PDF summarization with LLaMA 3 via Groq, and AI video translation using Whisper + LLMs.

Pursuing a program in the Faculty of Computer Science & Artificial Intelligence at Pharos University (Sep 2022–Jun 2026), achieving a CGPA of 3.36.

Tech stack

Software and tools used professionally

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