Priyanka Dangi
Machine Learning Engineer at Qualcomm
San Diego, California, United States
Summary
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Rockstar🎓
Top SchoolPriyanka Dangi is a Machine Learning Engineer based in San Diego with four years of experience applying ML, computer vision, and NLP to production problems at Qualcomm. A Virginia Tech CS graduate, she progressed from multiple internships to a full-time ML engineering role, bringing hands-on experience in both software engineering and data science across industrial and research settings. She has a track record of contributing to academic projects and student leadership—serving as president of the Association for Women in Computing—which speaks to her collaborative and mentorship strengths. Comfortable bridging research and product, she excels at turning prototype models into deployable solutions and is particularly interested in practical CV/NLP fusion tasks that improve on-device intelligence.
4 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Middlesex County Vocational Academy Math Science &Engineering TechnBachelor of Science - BS, Bachelor of Science - BS at Virginia Tech
Marathi, Spanish, English
Stackoverflow
3reputation
206reached
1answer
1question
Github Skills (11)
quantization10
compression10
pruning10
machine-learning10
deep-learning10
pytorch9
open-source8
neural-network8
deep-neural-networks8
apache-spark6
apache-zeppelin6
Programming languages (1)
Github contributions (2)
quic-pdangi/aimet
Mar 2022 - Jan 2025
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Contributions:11 pushes, 74 branches in 2 years 10 months
pytorchtechniquesdeep-learningcompressionmachine-learning
quic/aimet
Jun 2022 - Nov 2022
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Contributions:1 review, 3 commits, 72 PRs in 4 months
pytorchtechniquesdeep-learningpruningcompression
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