Amr Mashlah
Verified Expert in Engineering
Machine Learning Engineer and Developer
London, United Kingdom
Toptal member since January 2, 2019
Amr builds machine learning (ML) services from prototype to production. His diverse ML experience helps him build rapid prototypes and find new creative uses for ML models from different domains. Amr enjoys making interactive visualization tools to validate and communicate results.
Portfolio
Experience
- Pandas - 6 years
- NumPy - 6 years
- Data Science - 6 years
- Python - 6 years
- Artificial Intelligence (AI) - 6 years
- Machine Learning - 6 years
- Scikit-learn - 5 years
- SciPy - 3 years
Preferred Environment
Jupyter, Git, NumPy, Python, Pandas, Jupyter Notebook, SQL, LangChain, LlamaIndex
The most amazing...
...thing I've developed is behavioral clustering with linear discriminant analysis (LDA) using a few labeled data as seeds to influence learned clusters.
Work Experience
Founder
PatternedAI
- Developed a customized Stable Diffusion model and served it using serverless GPUs.
- Fine-tuned a custom image generation model and optimized it for different use cases.
- Handled autoscaling computes necessary to serve a large volume of users and cut costs with a low number of users.
Senior Machine Learning Engineer
Eezylife Inc.
- Built and maintained recommendation engines for restaurants, events, movies, and music.
- Extracted key information that helps users relate to their recommendations.
- Developed an interactive interpretation tool for debugging and validation.
- Hired and managed a team of data scientists and mentored interns.
Data Scientist
MachineMedicine
- Used pose estimates from video recording to assess motor skills objectively for Parkinson's patients.
- Built the analytics pipeline using Python and ingested it in a Flask web application.
- Created plots to visualize and validate the several steps in the analytics pipeline and the activity detection algorithm.
Data Scientist
IntentHQ
- Researched new approaches to data enrichment techniques, including behavioral clustering, audience expansion, and modeling user preferences.
- Enhanced data quality control by creating a web interface for topic disambiguation, automating the repetitive analysis, and reports.
- Labeled unlabeled data using probabilistic methods.
- Devised the evaluation metrics for model performance.
Experience
Semantic Search
https://github.com/amrakm/semantic_searchA script to embed a list of documents and upload them to a vector database. These embeddings were matched against search queries and served in a Streamlit web app.
Bechdel Test on Movie Scripts
https://github.com/amrakm/BechdalTestThe script extracts names in the scene, guesses their gender, and runs a test similar to the Bechdel test on each scene—to check if at least two women are talking to each other without the presence of a man in the scene.
ML Framework
https://github.com/amrakm/ML_FrameworkWorks on tabular datasets, handles numerical and categorical data automatically, and extracts embedding from text fields using BERT model.
DQN_Navigator
https://github.com/amrakm/DQN_NavigatorEducation
Master of Science Degree in Artificial Intelligence
University of Edinburgh - Edinburgh, United Kingdom
Bachelor of Engineering Degree in Mechatronics Engineering
University of Aleppo - Aleppo, Syria
Skills
Libraries/APIs
Pandas, Keras, NumPy, Scikit-learn, Matplotlib, SQLAlchemy, TensorFlow, SciPy, PyTorch, OpenAI API, TensorFlow Deep Learning Library (TFLearn), Natural Language Toolkit (NLTK), Beautiful Soup, Node.js, PySpark, React
Tools
Amazon SageMaker, ChatGPT, Git, Jupyter
Languages
Python, Arabic, Scala, SQL
Paradigms
Database Design
Platforms
Jupyter Notebook, Amazon Web Services (AWS), Firebase, Vercel
Storage
Databases, PostgreSQL, MySQL, MongoDB
Frameworks
Flask, Streamlit, Selenium, Next.js, LlamaIndex
Other
Data Science, Artificial Intelligence (AI), Data Analytics, Machine Learning, Data Cleaning, Data Handling, Machine Language, Convolutional Neural Networks (CNNs), Natural Language Processing (NLP), Stable Diffusion, Image Processing, Generative Pre-trained Transformers (GPT), Large Language Models (LLMs), Pinecone, Generative Artificial Intelligence (GenAI), Data Modeling, Data Analysis, Fine-tuning, AI Model Training, Minimum Viable Product (MVP), Data Reporting, Recommendation Systems, Data Visualization, Dashboards, APIs, Deep Learning, Topic Modeling, Generative Pre-trained Transformer 3 (GPT-3), Sentiment Analysis, Clips, OpenAI, Diffusion Models, DreamBooth, LangChain, CI/CD Pipelines, Machine Learning Operations (MLOps), Retrieval-augmented Generation (RAG), Large Language Model Operations (LLMOps), Algorithms, Deep Reinforcement Learning, Computer Vision, Vector Data, Vector Databases, Semantics, Scraping, Reinforcement Learning, BERT, Excel Modeling
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring