Mark Tabladillo
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolMark Tabladillo is a cloud-focused solutions architect and data science practitioner with a decade of experience building enterprise AI and analytics solutions from Atlanta. At Microsoft he blends cloud architecture with hands-on ML engineering, ensuring models and pipelines run reliably across frameworks and environments. He contributes to open-source deep learning demos, notably fixing cross-framework Python 2 compatibility issues to preserve numeric accuracy in notebook examples. Known for viewing AI as a team sport, he emphasizes collaboration between engineering, data science, and product to deliver practical, production-ready outcomes. Active on GitHub and Twitter, he connects community engagement with enterprise-grade delivery.
10 years of coding experience
Georgia Institute of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
jupyter-notebook10
deep-learning10
python10
machine-learning9
tensorflow8
mxnet7
cntk7
faster-rcnn6
mask-rcnn6
rnn-model6
n6
Programming languages (15)
Github contributions (5)
ilkarman/DeepLearningFrameworks
Jan 2018 - Jan 2018
Demo of running NNs across different frameworks
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 6 PRs in 1 day
Contributions summary:Mark's commits focused on ensuring the provided code examples are compatible with Python 2. This involved modifying several Jupyter Notebook files (CNTK_CNN.ipynb, CNTK_RNN.ipynb, MXNet_CNN.ipynb, MXNet_RNN.ipynb, Tensorflow_CNN.ipynb, Tensorflow_RNN.ipynb) by adding 1.* to accuracy calculations. The changes aimed to address potential integer division issues in Python 2, maintaining accurate results across different deep learning frameworks.
mxnetdeep-learningmachine-learningcaffetensorflow
marktab/architecture-center
Jul 2020 - Sep 2022
Azure Architecture Center
Contributions:3 pushes, 1 branch in 2 years 2 months
centerazure-functionsazureazure-architecture-centerarchitecture
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