Jawad Ahmed
About Jawad Ahmed
Jawad Ahmed is a Senior Data Scientist specializing in Machine Learning at Flipp in Waterloo, Ontario, where he has worked since 2020. He has a background in Electrical Engineering and Computer Engineering, with previous roles at Dialpad, TalkIQ, and McKinsey & Company.
Work at Flipp
Jawad Ahmed has been serving as a Senior Data Scientist specializing in Machine Learning at Flipp since 2020. In this role, he has led significant projects including the pre-training of transformer language models such as DistilBERT and RoBERTa, which involved processing millions of retail products. He has implemented hierarchical classification techniques to categorize retail items effectively. Additionally, he contributed to the design of a micro-services architecture for serving machine learning models, enhancing the operational efficiency of the data science team. His work also includes exploring graph modeling techniques to develop product embedding representations, utilizing various AWS services like S3, EC2, and MTurk, as well as tools such as DataBricks, Spark, and MLFlow.
Previous Experience
Before joining Flipp, Jawad Ahmed held several positions in the field of data science and machine learning. He worked at Dialpad as a Senior Applied Scientist focusing on Natural Language Processing (NLP) from 2018 to 2020. Prior to that, he was a Machine Learning Engineer at TalkIQ, which was acquired by Dialpad, from 2017 to 2018. His career began at McKinsey & Company, where he served as an Algorithm Engineer for AI products from 2013 to 2015. Additionally, he gained teaching experience as a Graduate Teaching Assistant at the University of Waterloo in 2016.
Education and Expertise
Jawad Ahmed holds a Master's degree in Computer Engineering from the University of Waterloo, which he completed from 2016 to 2017. He also earned a Bachelor of Applied Science in Electrical Engineering from the National University of Sciences and Technology (NUST) between 2009 and 2013. His educational background provides a strong foundation in engineering principles, which he applies in his work in machine learning and data science.
Technical Skills
Jawad Ahmed possesses a diverse set of technical skills relevant to his role in data science and machine learning. He has expertise in implementing machine learning models and techniques, particularly in the areas of natural language processing and classification. His proficiency with AWS services, including S3, EC2, and MTurk, enhances his ability to manage and analyze large datasets. Additionally, he is skilled in using DataBricks, Spark, and MLFlow, which are critical tools for data processing and model deployment.