Summary
Aisha Khatun is a Software Development Engineer at AWS with eight years of experience building distributed systems, end-to-end ML pipelines, and data analytics solutions. Her background blends graduate-level NLP research at the University of Waterloo—where she curated a novel dataset and evaluated 37 LLMs for reliability on sensitive and nuanced prompts—with production ML and data roles at Wikimedia and Therap. She is fluent in Python, Java/Kotlin, Scala and familiar with Spark, Airflow, PyTorch and TensorFlow, enabling her to move models from experimentation to scalable deployment. Notably, her thesis and accompanying dataset exposed LLM volatility in controversy and misconception domains, a practical insight she applies to model monitoring and robust system design. She’s contributed language-agnostic tooling for Wikipedia across 300+ languages and has a track record of making multilingual, resource-efficient solutions that reduce operational bottlenecks. Based in Old Toronto, she combines rigorous research instincts with hands-on engineering to tackle reliability and scale in AI systems.
7 years of coding experience
5 years of employment as a software developer
Nanodegree, Computer Vision, Nanodegree, Computer Vision at Udacity
Bachelor's degree, Computer Science, 3.89/4.00, Bachelor's degree, Computer Science, 3.89/4.00 at Shahjalal University of Science and Technology
Master's degree, Computer Science, 96%, Master's degree, Computer Science, 96% at University of Waterloo
English, Bengali