Anfal Siddiqui
Machine Learning Engineer at Google
Summary
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RockstarAnfal Siddiqui is a Machine Learning Engineer with a decade of experience focused on high-performance ML infrastructure and large language models, currently working on Cloud TPUs/GPUs and LLMs at Google. She brings a strong research-to-production background, having worked at Salesforce Research and completed AI training at Stanford after earning a CS degree from Berkeley. Comfortable across both systems and models, she bridges hardware acceleration and model development to optimize real-world ML workloads. Notably, her career path reflects a blend of top-tier academic training and hands-on engineering at major cloud and AI organizations, enabling pragmatic solutions for scaling modern ML.
10 years of coding experience
Github Skills (18)
large-language-models10
llm10
gpt10
lda7
sentiment7
nlp7
sentiment-analysis6
natural-language-processing6
similarity6
turkish5
java5
word-embeddings5
gcloud5
named-entity-recognition5
stanford-nlp5
Programming languages (3)
Github contributions (5)
anfals/TestWebsiteConnector
Mar 2016 - Apr 2016
Contributions:119 pushes, 1 branch in 1 month
anfals/anfals.github.io
Dec 2020 - Apr 2023
Contributions:22 pushes, 1 branch in 2 years 3 months
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