Satya Lolla
Principal Data SME
Aldie, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolSatya Lolla is a Principal Data SME with over a decade of hands-on experience designing data models, building ETL pipelines, and delivering analytics for security, financial, and travel domains. He combines deep engineering skills in Python, Spark, Java and ETL tooling with practical real-time analytics experience using Splunk and the Elastic Stack to drive security and vulnerability insights. At Visa and Thoughtworks he led complex data management, data quality and workflow orchestration efforts, while earlier roles honed performance engineering and API automation at FireEye and large-scale ETL at Paragon and TRX. He also contributed to MIT’s popular intro-to-deep-learning lab by improving a debiasing facial detection notebook, demonstrating applied ML chops beyond traditional data engineering. Based in Aldie, Virginia, Satya pairs a master’s in computer science with a track record of turning messy, multi-source data into secure, production-ready analytics.
8 years of coding experience
15 years of employment as a software developer
B.Tech Computer Science, B.Tech Computer Science at Andhra UniversityMaster's Computer Science, Master's Computer Science at George Mason University
Github Skills (7)
pytorch10
jupyter-notebook10
deep-learning10
computer-vision9
neural-network8
tensorflow8
data-analysis7
Programming languages (4)
Github contributions (5)
MITDeepLearning/introtodeeplearning
Jan 2023 - Jan 2023
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:26 commits, 24 pushes, 1 branch in 9 days
Contributions summary:Satya contributed to lab 2 by editing and modifying the Jupyter Notebook for the debiasing section of the project. Their code changes focus on a debiasing facial detection system, including modifications to the training dataset, model definition (likely a CNN), and model evaluation. The edits suggest they were working to adapt and debug the provided notebook, contributing to the deep learning portion of the lab.
algorithmic-biasmusic-generationdeep-learninglab-materialscomputer-vision
slolla/slolla.github.io
Jan 2023 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:67 pushes in 2 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
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