Fatma Moanes Email & Phone Number
@sarj.ai
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Who is Fatma Moanes? Overview
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Fatma Moanes is listed as AI Engineer at Sarj.ai, a company with 14 employees, based in Cairo, Egypt, Egypt. AeroLeads shows a work email signal at sarj.ai and a matched LinkedIn profile for Fatma Moanes.
Fatma Moanes previously worked as AI/Data Engineer at Adam.Ai and Junior Teaching Assistant at Zewail City Of Science And Technology. Fatma Moanes holds Bachelor'S Degree, Communications And Information Engineering, Excellent from Zewail City Of Science And Technology.
Email format at Sarj.ai
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AeroLeads found 1 current-domain work email signal for Fatma Moanes. Compare company email patterns before reaching out.
About Fatma Moanes
Passionate AI/Data Engineer with a solid background in Machine Learning, data pipelines, and LLM-based apps. Hold a B.S. in Communications and Information Engineering with a focus on AI. Graduated with excellence from Zewail University, achieving a perfect 4.0/4.0 GPA in my senior and most challenging year, showcasing a deep-rooted interest in AI. Noteworthy accomplishments include winning first place in a national AI hackathon and earning first place for a graduation project competition.Currently leveraging expertise in AI and data engineering to drive impactful decisions and yield valuable insights. Professional journey involves constructing ML models, developing data pipelines, and extensive work with cloud computing and big data technologies. Committed to ongoing learning, particularly in prompt engineering, to remain at the forefront of industry advancements.Known for meticulous attention to detail and a collaborative demeanor, excelling in team environments. Eager to embrace new challenges and contribute to pioneering AI and data engineering projects.* Details: *- Education: B.Sc. in Communications and Information Engineering from Zewail University.- Academic Excellence: Admitted through rigorous STEM exam; Graduated with an Excellent grade (GPA: 3.3/4).- *Notable Achievements:* - Winner of Dell Technologies AI Hackathon. - Best Graduation Project: Action Detection using Deep Learning. - Participant in Hult Prize business competition.- Experience: Junior Teaching Assistant (Machine Learning), AI/Data Engineer.- Interests: Deep interest in AI, bolstered by coursework in Machine Learning, Deep Learning, Computer Vision, NLP, Big Data Analytics, and Cloud Computing.- Current Focus: Strengthening prompt engineering skills and exploring innovative language model applications.* Key Projects and Skills: *- Machine Learning: Developed classification model addressing specific business needs.- Data Pipelines: Constructed Apache Beam streaming data pipeline for DataFlow, enhancing data processing capabilities. Also, implemented RabbitMQ source for Apache Beam, enhancing real-time data handling.- Vector Stores: Extensively optimized data retrieval and storage using vector stores.- LLMs and Prompt Engineering: Collaborated on LLMs using LangChain framework.- Databases: Proficient in MongoDB, creating complex aggregation pipelines.- Cloud Computing: Experienced in Google Cloud, utilizing cloud-based tools for scalable and reliable data solutions.- GraphQL: Applied GraphQL for efficient data querying and manipulation.
Listed skills include Pandas, Object Oriented Programming, Matlab, Data Analysis, and 20 others.
Fatma Moanes's current company
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Fatma Moanes work experience
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Ai/Data Engineer
Current- Contributions:
- Led the team for a month while manager was away, managing standups, sprint planning, retrospectives, and Co-CEO meetings. Delivered updates, facilitated discussions, and ensured the team remained aligned on objectives..
- Developed and optimized ML models, designed scalable data pipelines, and implemented RabbitMQ source in Apache beam DataFlow for real-time data streaming.
- Engineered data ingestion pipelines from a database to a vector store to enable Retrieval Augmented Generation (RAG).
- Crafted LLM-based applications, including chatbot.
- Deployed and monitored agents for production use.
Junior Teaching Assistant
Responsible for helping undergrad students with their Machine Learning course.
Reinforcement Learning Intern
The project focuses on the implementation and analyzing the performance of a multi-agent reinforcement learning algorithm for cooperative connected vehicles. Agents learn to coordinate their actions to achieve some common goal as a team.It explores several challenges related to multi-agent reinforcement learning including the formulation of multi-agent.
Fatma Moanes education
Frequently asked questions about Fatma Moanes
Quick answers generated from the profile data available on this page.
What company does Fatma Moanes work for?
Fatma Moanes works for Sarj.ai.
What is Fatma Moanes's role at Sarj.ai?
Fatma Moanes is listed as AI Engineer at Sarj.ai.
What is Fatma Moanes's email address?
AeroLeads has found 1 work email signal at @sarj.ai for Fatma Moanes at Sarj.ai.
Where is Fatma Moanes based?
Fatma Moanes is based in Cairo, Egypt, Egypt while working with Sarj.ai.
What companies has Fatma Moanes worked for?
Fatma Moanes has worked for Sarj.Ai, Adam.Ai, and Zewail City Of Science And Technology.
How can I contact Fatma Moanes?
You can use AeroLeads to view verified contact signals for Fatma Moanes at Sarj.ai, including work email, phone, and LinkedIn data when available.
What schools did Fatma Moanes attend?
Fatma Moanes holds Bachelor'S Degree, Communications And Information Engineering, Excellent from Zewail City Of Science And Technology.
What skills is Fatma Moanes known for?
Fatma Moanes is listed with skills including Pandas, Object Oriented Programming, Matlab, Data Analysis, Communication, English, Photography, and Engineering.
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