Rafiya Javed Machine Learning Engineer
areas of expertise
- Advanced Machine Learning and Artificial Intelligence
- NLP (Natural Language Processing) including Language Data Models
- Neural Networks
- Health Research
- Adhoc Insights, using prediction techniques
education
- Bachelor of Science (Physics), University of Florida
- McGill University, Doctor of Medicine (M.D.), Medicine
- Georgia Institute of Technology, Master of Science (M.S), Computer Science
Rafiya Javed is a senior machine learning engineer. She has a broad experience in creating production models which are characterized by complexity (advanced machine learning) and scale (have served millions of customers). She has worked intimately with recommendation systems and large language models, and also has past experience solving challenging prediction problems with time-series data. She now works as a machine learning engineer at a well-known FAANG company.
Her relevant projects include:
- At Mailchimp (now Intuit Mailchimp), Rafiya helped productionize a model which using embeddings based
on a fine-tuned BERT model in 2018. BERT was one of the early peaks in the large language model
explosion we are seeing in industry today. At this company, she also worked on experimental usages of large
language model architecture, including this talk she gave at a major Atlanta-based Data Science conference - At Lifebell AI, Rafiya joined a very early stage startup in order to create a product which could beat
physician diagnosis in detecting sepsis occurrence. She rapidly prototyped a variety of solutions, including
deep neural networks and implemented a custom loss function in pytorch, that forced the model to focus on
maximizing benefit and minimize harm in a unique clinical setting.
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Banking and Financial Services Analytics
Banking and Financial Services Analytics Data analytics plays a crucial role in the operations of banks and financial services firms. It involves collecting, organizing, analyzing, and interpreting large volumes of data to gain insights, make informed decisions, and improve overall performance. Here are some key aspects involved in data analytics for a bank or financial
May 10, 2023 -
Retail Analytics
Retail Analytics Data analytics plays a crucial role in the retail industry by providing insights that help improve decision-making, optimize operations, enhance customer experiences, and drive business growth. Here are some key aspects involved in data analytics for retail companies: Sales and Revenue Analysis: Data analytics helps retailers analyze sales data to gain insights into
May 10, 2023
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