Summary
Abdullah Irfan is a Gen AI Architect and seasoned data science leader with 9 years of experience designing and operationalizing ML/NLP solutions across retail, FinTech, and pharma domains. He has led analytics teams at The Home Depot Canada, Loblaw, and Sobeys and now focuses on generative AI and large-scale data platforms at Tiger Analytics. His technical breadth spans Python-based ML (TensorFlow, Keras, Gensim), big data ecosystems (Databricks, Spark, Hadoop, Kafka), cloud warehouses (BigQuery, Redshift) and ETL/BI tooling, enabling end-to-end production pipelines. Abdullah combines hands-on model development with pragmatic engineering—optimizing ETL, data marts and deployment practices to deliver measurable business impact such as high-accuracy predictive dashboards and anomaly detection systems. Based in Toronto, he pairs an MEng from the University of Waterloo with practical product-engineering experience, often bridging technical consultative work and in-house product development. Notably, his background includes building compliance analytics and scalable ETL frameworks that streamlined multi-client deployments in regulated industries.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Institute of Business Administration
Master of Engineering - MEng Systems Design Engineering, Master of Engineering - MEng Systems Design Engineering at University of Waterloo
Urdu, Arabic, English