Anas Awadalla
Software Engineer at Webalo
Egypt
Summary
🤩
Rockstar🎓
Top SchoolAnas Awadalla is a software engineer with six years of experience blending machine learning, algorithms, and systems engineering across research and industry roles. He holds an MSc in Data Science (Distinction) from the University of Cape Town and has applied that training at Amazon, the Applied Innovation Center (MCIT), and in academia as a teaching assistant covering cloud-native and event-driven system design. On GitHub he contributed NLP preprocessing and a Keras-based sentiment model to Palashio/libra, reflecting practical expertise in production-ready ML pipelines. Now at Webalo, he focuses on building scalable software while drawing on a background that spans hands-on data science, system orchestration (Docker/K8s), and teaching — a mix that helps him translate complex algorithms into usable products.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, ENGINEERING, A-, Bachelor's degree, ENGINEERING, A- at Alexandria UniversityMaster of Science, Data Science, Distinction, Master of Science, Data Science, Distinction at University of Cape Town
Github Skills (10)
keras10
nlp10
spacy10
preprocessing10
python10
preprocess10
text-processing10
neural-network9
machine-learning9
tensorflow7
Programming languages (5)
Github contributions (5)
Palashio/libra
Jun 2020 - Nov 2020
Ergonomic machine learning for everyone.
Role in this project:
Data Scientist
Data ScientistContributions:134 commits, 37 PRs, 43 pushes in 5 months
Contributions summary:Anas implemented sentiment analysis and new pre-processing techniques for Natural Language Processing (NLP). Their work focused on creating and integrating functions for text cleaning, tokenization, and lemmatization using libraries like spaCy. The primary contribution revolves around developing a sentiment analysis model using Keras and related components.
pythonmachine-learning-for-everyonedata-scienceneural-networksmachine-learning
mlfoundations/open_flamingo
Mar 2023 - Aug 2024
An open-source framework for training large multimodal models.
Contributions:5 releases, 40 reviews, 60 PRs in 1 year 5 months
computer-visiondeep-learningflamingoin-context-learninglanguage-model
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