Nilai Vemula
Software Development Engineer at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNilai Vemula is a Software Development Engineer at Amazon working on Amazon Connect, with 11 years of experience building and productionizing machine learning models and data-driven systems. She brings a strong quantitative foundation from a double major in Physics and Applied Mathematics (Vanderbilt) and is augmenting that with an MS in Computer Science from Georgia Tech. Her background spans end-to-end ML work—model development, cloud deployment and monitoring—using Java, Python (including TensorFlow, scikit-learn, pandas) and SQL, informed by hands-on pricing and appraisal models at CarMax. As an undergrad she applied ML to biological imaging and OCR for manuscript digitization, achieving high segmentation accuracy and practical transcription tools, showing a knack for turning research prototypes into usable products. Based in New York, she combines rigorous analytical instincts with production engineering discipline, making her effective at bridging research code and scalable services.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyBachelor's degree, Physics & Applied Mathematics Double Major, Scientific Computing Minor, Bachelor's degree, Physics & Applied Mathematics Double Major, Scientific Computing Minor at Vanderbilt University
English, French
Github Skills (26)
gtk8
qt8
biophysics8
matplotlib7
python7
data-visualization6
physics6
visualization6
data-science6
segment5
sentiment5
robotics4
machine-learning4
machine-learning-algorithms4
packed4
Programming languages (6)
Github contributions (5)
NilaiVemula/ml-from-scratch
Jul 2020 - Sep 2020
Writing machine learning algorithms from scratch in python
Contributions:44 commits, 2 PRs, 20 pushes in 1 month
pythondata-sciencemachine-learning-algorithmsmachine-learninglearning-algorithms
NilaiVemula/pycellfit
May 2020 - Jan 2021
pycellfit: an open-source Python implementation of the CellFIT method of inferring cellular forces developed by Brodland et al.
Contributions:8 releases, 59 PRs, 186 pushes in 8 months
physicspythonpython-implementationmethodforces
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