Nouman Khan
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNouman Ahmed is a researcher and data engineer with 8 years of experience combining production-grade data engineering and NLP research, recently completing a dual-master’s in Language and Communication Technologies while based in Oxford. He has built large-scale scraping and ETL pipelines that processed millions of records, automated cloud migrations and serverless deployments, and reduced model error rates through robust data pipelines. His NLP work spans low-resource machine translation, scientific-domain and multimodal NLP, and a thesis project on OOV token representations using contextualized embeddings with Hugging Face and TensorFlow. Nouman also brings full-stack and automation chops (React, Django, Selenium, Airflow, AWS) and a history of shipping test-driven contributions to the well-known aima-python repository as a QA/test automation engineer. He blends academic rigor with practical delivery—translating research ideas into deployable services and reproducible experiments. Reach him at n.ahmed.0498@gmail.com or via his technical blog for deeper dives.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering (Systems), Doctor of Philosophy - PhD, Electrical and Computer Engineering (Systems) at University of Michigan - Rackham Graduate SchoolBachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Github Skills (4)
testing10
unit-testing10
python10
test-automation10
Programming languages (3)
Github contributions (5)
aimacode/aima-python
Feb 2018 - Nov 2018
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:14 commits, 25 PRs, 21 comments in 8 months
Contributions summary:Nouman primarily focused on writing and implementing tests for various agent programs within the `aima-python` repository. They added tests for table-driven, random, and simple reflex agent programs, as well as related tests for vacuum cleaner agents and problem-solving agents. The contributions involved fixing bugs and style issues. They demonstrated a strong understanding of testing frameworks.
pythonpython-implementationapproachartificialmachine-learning
nouman-10/Image-Captioning
May 2019 - May 2019
Contributions:2 commits, 1 push in 1 day
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