Farah Ahmed
@farahahmed1
Fresh Big Data & Data Scientist applying ML, RAG, and analytics to real-world problems.
What I'm looking for
I’m a Computer Science and Artificial Intelligence graduate specialized in Big Data, with hands-on experience across AI, Machine Learning, Data Analytics, and Software Development through academic projects, internships, and research-driven work.
I’ve led and built AI-powered systems, including a virtual rehabilitation ecosystem with computer vision (MediaPipe Pose) for real-time feedback, and a Medical Assistant using Retrieval-Augmented Generation (RAG) over PubMed literature with Large Language Models. I also developed a Nutrition Assistant that analyzes meal images and generates personalized dietary recommendations.
In internships, I worked with IBM watsonx.data and watsonx.ai to explore data management, model training, and deployment workflows, and I trained on big data technologies such as Apache Spark, Flink, Kafka, and Cassandra for streaming and processing tasks.
I’m eager to join a team where I can apply my analytical and technical skills to solve real-world business and technology challenges, continuously learning through practical, research-backed engineering.
Experience
Work history, roles, and key accomplishments
Data & AI Intern
ISYS
Aug 2025 - Sep 2025 (1 month)
Gained hands-on experience with IBM watsonx.data and watsonx.ai, focusing on data management, model training, and deployment workflows.
Cybersecurity Intern
WE
Jul 2025 - Aug 2025 (1 month)
Learned cybersecurity concepts including SOC operations, SIEM, incident response, penetration testing, threat hunting, and threat intelligence. Built and simulated network topologies and conducted practical penetration testing with Metasploit, including SOC-style log analysis and threat detection.
Junior Teaching Assistant
Nile University
Oct 2024 - Jan 2025 (3 months)
Supported lab sessions by assisting students with course content and clarifying theoretical concepts. Guided students through practical exercises to reinforce programming and problem-solving skills.
Big Data Intern
Orange Egypt
Sep 2024 - Present (1 year 11 months)
Trained in big data technologies for data processing and streaming, including Apache Spark, Flink, Kafka, and Cassandra. Applied Python, SQL, NumPy, and Pandas for data analysis and database management, and learned basic system administration including RAID configuration and OS installation.
Learned 5G architecture concepts such as network slicing, latency, and resource allocation. Worked on a data analytics project for 5G performance indicators including signal strength and latency.
MERN Stack Intern
Etisalat Egypt
Sep 2023 - Present (2 years 11 months)
Completed an intensive MERN stack program and implemented projects using MongoDB, Express, React, and Node. Gained knowledge of chatbot development.
Education
Degrees, certifications, and relevant coursework
Nile University
Bachelor of Science, Computer Science and Artificial Intelligence
Grade: Cumulative GPA: 3.71 / 4.00 (Excellent); Dean's Honor List
Activities and societies: Graduation project: Seneb – Virtual Smart Rehabilitation System with Vision-Based Feedback (Team Leader, 5 members). Club roles: Coordinator/HR Head (NU Entrepreneurship Club), Multimedia Member (Google Developer Student Club), HR Member (Nutshell Club).
B.S. in Computer Science and Artificial Intelligence with a specialization in Big Data. Earned a 3.71/4.00 cumulative GPA and was awarded the Dean's Honor List; led a graduation project (Team Leader) including a vision-based rehabilitation system and an AI medical assistant using RAG.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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