Emmanuel Awa

Greater Boston Area United States

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Summary

🤩

Rockstar

🎓

Top School

Emmanuel Awa is an experienced software engineer with 11 years building scalable ML and big-data systems, currently contributing to Microsoft’s AI Perception team within AzureCAT. He blends hands-on MLOps, NLP, and conversational AI expertise with a background optimizing flight-fare combinatoric engines for the travel industry. A Brandeis-trained CS master and alumnus of targeted nanodegrees in NLP and mobile web, he focuses on hybrid roles that bridge product engineering and natural language understanding. On GitHub he improved build and deployment workflows for microsoft/nlp-recipes, making the project pip-installable and more robust for model deployment. Known for learning-by-doing, he leverages production data pipelines to turn ML and AI into actionable business insights. He’s driven by solving optimization gaps and exploring end-user product design informed by deep technical foundations.

11 years of coding experience

Masters, Computer Science, Masters, Computer Science at Brandeis University

Mobile Web Specialist Nanodegree, Mobile Web Development, Excellent, Mobile Web Specialist Nanodegree, Mobile Web Development, Excellent at Udacity

Data Science , Data Science at Harvard Extension School

B. Tech, Physics/Electronics, B. Tech, Physics/Electronics at Federal University of Technology Minna

Igbo, Hausa, English

Github Skills (11)

pip10

python10

setuptools10

natural-language-processing9

mlflow9

deep-learning8

machine-learning8

deeplearning-ai8

cicd8

dockers7

docker7

Programming languages (12)

C#PowerShellTypeScriptJavaCoffeeScriptShellBicepScala

Github contributions (5)

microsoft/nlp-recipes

Jul 2019 - Aug 2020

Natural Language Processing Best Practices & Examples

Role in this project:

MLOps Engineer

Contributions:140 commits, 16 PRs, 60 pushes in 1 year 1 month

Contributions summary:Emmanuel primarily focused on improving the build and deployment process, adding install instructions, and addressing versioning issues. They implemented changes to `setup.py` to make the project pip installable and configured semantic versioning using `setuptools_scm` and `bumpversion`. The user also updated the conda file with necessary libraries for model building and deployment. Further contributions focused on addressing a library dependency.

natural-language-understandingnluword-embeddingslanguage-processingdialogue-systems

Azure/cortana-intelligence-customer360

Jun 2017 - Dec 2017

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

Contributions:38 commits, 1 PR, 22 pushes in 6 months

cdsinstructionsazure-stackazure-machine-learningcortana

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