Devi Endluri
Senior Data Scientist
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolDevi Endluri is a Senior Data Scientist at Microsoft with 7+ years of experience building production ML and data solutions, blending a strong software engineering background from Qualcomm with graduate-level AI research at Texas A&M. She specializes in end-to-end data pipelines, computer vision and NLP (AutoML for NER), and is fluent in Python, C/C++, Spark, OpenCV and cloud tooling, driving measurable product impact through A/B testing and robust model deployment. Her work ranges from automating chart extraction and knowledge-graph construction for COVID-19 research to delivering connectivity features on mobile chipsets, showing a rare mix of research rigor and embedded-systems pragmatism. An IIT Kharagpur alumnus with a 3.9 MS GPA, she pairs fast learning and cross-functional collaboration with a track record of awards and open-source contributions in the Android connectivity domain.
7 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, 3.9, Master's degree, Computer Science, 3.9 at Texas A&M UniversityBachelor of Technology (BTech), Computer Science, 8.27/10, Bachelor of Technology (BTech), Computer Science, 8.27/10 at Indian Institute of Technology, Kharagpur
English, Telugu, Hindi
Github Skills (82)
python10
image-processing10
fasttext10
scrapy10
gtk10
deep-learning10
crawler10
glove10
qt10
word2vec10
corpus10
scikit10
statistics10
topic-modeling10
data-visualization10
Programming languages (5)
Github contributions (5)
Cvrane/ChartReader
May 2020 - Jan 2021
Contributions:92 commits, 45 pushes in 7 months
dsandeep0138/UNet-Colorization
Oct 2019 - Aug 2020
Implementation of Colorization using U-Net architecture and further experiments by modifying the model with different U-Net architectures with different number of down-sampling and up-sampling operations and U-Net++ architecture.
Contributions:36 commits, 3 PRs, 20 pushes in 9 months
architecturesu-netarchitecturecolorizationsampling
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