Swetha Mandava
Data Engineer
United States
Summary
🤩
Rockstar🎓
Top SchoolSwetha Mandava is a data engineer with a decade of engineering experience and a 3+ year focus on cloud-native data pipelines, DevOps automation, and backend systems. Currently at Vsion Technologies, she brings proven delivery in Agile environments and a knack for bridging software development with data engineering. Her open-source contributions to NVIDIA's DeepLearningExamples—especially fixes to TensorFlow/BERT training scripts—highlight hands-on ML engineering experience beyond typical data engineering work. She holds advanced study in computer science and information technology from Texas State University and Lindsey Wilson College, complementing a BTech in ECE. Comfortable across cloud, automation, and model-training trenches, she often surfaces subtle parameter and bias-correction bugs that improve reproducibility and performance.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at Lindsey Wilson CollegeMaster's degree, Computer Science, Master's degree, Computer Science at Texas State UniversityBachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at prasad v potluri; siddhartha institute of technology
Github Skills (7)
machine-learning10
deep-learning10
python10
bert10
nlp9
tensorflow7
computer-vision4
Programming languages (8)
Github contributions (5)
NVIDIA/DeepLearningExamples
Apr 2019 - Mar 2021
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Role in this project:
ML Engineer
ML EngineerContributions:36 commits, 38 PRs, 14 pushes in 1 year 10 months
Contributions summary:Swetha primarily contributes to the TensorFlow/BERT model within the repository. Their commits focus on resolving parameter mismatches, ensuring consistent parameter names, and addressing bugs related to beta bias correction terms. The user's work also includes a minor update to correct a typo in the `run_classifier.py` script, indicative of a focus on model training and maintenance within the repository's deep learning context.
forecastingcaffe2translationspeech-recognitionstate-of-the-art
swethmandava/DeepLearningExamples
Mar 2019 - Feb 2021
Deep Learning Examples
Contributions:18 PRs, 65 pushes, 5 branches in 1 year 10 months
pythonmxnetcaffe2deep-learningmachine-learning
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