Gilsinia Lopez

Applied Scientist 2 ( AI & Research) at Microsoft

Bellevue, Washington, United States
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Summary

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Senior
🎓
Top School
Gilsinia Lopez is a Member of Technical Staff at Microsoft with a decade of experience applying machine and deep learning to production NLP and algorithmic challenges. She has led work from query understanding and intent detection to fine-tuning domain-specific GPT models and shipping a Next Edit Suggestion model for VS Code. Her background blends rigorous algorithms and data warehousing from an MS in Computer Science with a second MS in Microbial Engineering, reflecting an unusual cross-disciplinary strength in computational modeling and bioinformatics. At Microsoft she’s driven long-context modeling efforts and built training and evaluation pipelines for software-agent systems, turning research prototypes into shipped features. Comfortable across C++, big-data infrastructure, and modern LLM workflows, she pairs research-grade experimentation with pragmatic production engineering. Based in Bellevue, WA, she brings both deep technical breadth and a track record of moving complex ML systems into real product use.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster of Science (M.S.), Microbial Engineering, Master of Science (M.S.), Microbial Engineering at University of Minnesota
bookUniversity of Minnesota Twin Cities
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Stackoverflow

Stats
528reputation
557kreached
8answers
19questions
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Github Skills (109)

cuda10
machine-translation9
nmt9
multimodal9
gpt9
nlp9
falcon9
transformer9
python9
deep-learning9
crf9
pytorch9
llm9
machine-learning9
speech-to-text9

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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LopezGG/NN_NER_tensorFlow

May 2017 - Aug 2017

Contributions:22 commits, 2 PRs, 20 pushes in 2 months
sequenceend-to-enddeep-learningcnnslstm
LopezGG/Sequence-Labelling

Jan 2017 - May 2017

Contributions:5 commits, 4 pushes, 1 branch in 4 months
pytorchsequenceend-to-enddeep-learningcnns
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