About

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AbdelrahmanAbozied

I'mMachine Learning Engineer

About

I started my journey with programming when I was 12. I have just finished my Computer Science B.Sc. in Egypt. I have experience in web development, and I'm interested in Artificial Intelligence, ML and Natural Language Processing, and making videos about AI. I am currently pursuing an informatics MSc at TUM and interested in the research area to be the man who is behind the technology, not just a user, to create cutting-edge technologies that will shape our future better. I want to leave the fingerprint of my life in the AI science and technology world so I will not give up until I reach.

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Experience

Here are my experience

Experience

Working student [August 2023 - Present]
Munich, Germany

NLP Engineer@IU International University of Applied Sciences

Wokring on Syntea, Syntea is an AI-driven teaching assistant, it is designed to enable personalised student interaction and enhance learning outcomes, offering a range of powerful features, including a question-answering tool, exam preparation, Socratic teaching, etc.
Working with large language models (LLMs) and GPT-4.
Design, create, and test prompts for ChatGPT for teaching applications within Syntea solutions.

Working student [April 2023 - July 2023]
Munich, Germany

Machine Learning Engineer@HypoVereinsbank - UniCredit

Collaborate with domain experts and stakeholders to gain a deep understanding of fraud scenarios, refine feature engineering strategies, and align the project objectives with business requirements.
Gather and integrate diverse data sources, including customer information, multiple account types, and transaction data, to build a comprehensive view of each customer's financial activity.
Design and implement a sophisticated feature engineering pipeline to extract meaningful features from the collected data, leveraging the relationships between customer accounts and their respective transactions.
Develop time rolling periods for transaction data, creating analytical features that capture temporal patterns and trends, enabling more accurate fraud detection.
Conduct thorough data exploration and analysis to identify significant patterns, anomalies, and correlations within the customer-account-transaction hierarchy, contributing to the development of more effective fraud detection models.
Develop and fine-tune machine learning models, such as anomaly detection algorithms, neural networks, and decision trees, to accurately detect and prevent fraud.

Full-Time [July 2021 - April 2023]
Remotely, Tallinn, Estonia

Machine Learning Engineer@Endangered Wildlife OU

Translate business requirements into smart AI and machine learning solutions.
Utilize NLP techniques to collect and filter data, extracting valuable information and insights.
Work on large-scale, real-time data and analytics projects, utilizing advanced statistical and machine learning models.
Designed and implemented a new database for a company project by scraping data from various sources, conducting data analysis, and preparing it for use.
Engineered and developed cost-efficient alternatives to a third-party paid API service that the company was previously using, resulting in significant cost savings as these applications are provided free of charge.
Successfully updated and improved the performance of previous projects that were not functioning effectively, resulting in improved results for the company.

Part-time [May 2022 - October 2022]
Remotely, Boston, Massachusetts, United States

ML/NLP Research Fellow@Fatima Fellowship

Contributed to the Editing Large Language Model Predictions with Natural Language Feedback project in Boston University, working under the supervision of Prof. Derry Wijaya and mentorship of Afra Feyza Akyürek, a Ph.D. student.
Conducted research on improving the accuracy of OpenAI GPT-3 code-davinci-002 predictions on GSM8K and MBPP datasets, using natural language feedback.
Implemented various advanced prompt engineering techniques, including Chain-of-Thought (CoT) Prompting, Zero-shot COT Prompting, and Automatic Chain-of-Thought (Auto-CoT), to optimize the accuracy of the project's predictions and generate high-quality prompts.

Training [September 2020 - October 2020]
6th of October, Egypt

Machine Learning Engineer Intern@Huawei ICT Academy

Acquired a comprehensive understanding of AI and Machine Learning fundamentals through extensive training and hands-on projects.
Built machine learning models using the scikit-learn library and gained hands-on experience.
Designed and implemented deep learning models using TensorFlow and Keras, solidifying my knowledge of deep learning algorithms and techniques.

Training [June 2020 - July 2020]
Smart Village, Egypt

Trainee@Technology Innovation and Entrepreneurship Center (TIEC)

Acquired knowledge on generating innovative ideas through design thinking and mind-mapping techniques.
mproved entrepreneurial skills by gaining exposure to the fundamental principles of entrepreneurship and interactive learning opportunities to apply essential tools to turn ideas into a business.
Demonstrated leadership abilities by managing team tasks and overseeing performance with mentor guidance.

August 2019 - February 2020
Dokki, Egypt

Front End Web Developer Intern@Elzero Academy

Translated business requirements into high-quality, production-ready code to enhance the end-user experience.
Developed web pages using HTML5, CSS3, and JavaScript with a focus on clean implementation, ensuring the pages were responsive and designed with mobile-first principles.
Implemented modular websites using Bootstrap and SASS to ensure a smooth user experience.