Tasfia Shermin is a Machine Learning Engineer with a decade of hands-on experience building and deploying end-to-end AI/ML solutions across Google Cloud and Azure. She holds a PhD focused on deep learning for computer vision and has translated that research into production systems—from CCTV-based intrusion detection to scalable model serving with Vertex AI, GKE, Cloud Run and Azure ML. At Equifax she engineered robust data pipelines using BigQuery, Spark, Pub/Sub and MLflow, and she now applies that expertise at IAG while also reviewing for IEEE multimedia and signal processing journals. Comfortable across TensorFlow, PyTorch and FastAPI, she blends research rigor with practical DevOps practices (Docker, CI/CD, Jenkins) to move models from prototype to reliable inference. Based in Melbourne, Tasfia combines academic depth with enterprise experience, and her background suggests a knack for turning complex vision models into operational services.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Bangladesh University of Professionals (Military Institute of Science and Technology (MIST))
Doctor of Philosophy - PhD, Deep Learning for Computer Vision, Doctor of Philosophy - PhD, Deep Learning for Computer Vision at Federation University Australia
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