Amir Farzad
Machine Learning Engineer - Head Of AI at Clay - Home Builder Software
Canada
Summary
👤
Senior🎓
Top SchoolAmir Farzad is a Machine Learning Engineer and Head of AI with a decade of experience building production-ready forecasting, anomaly detection, and NLP systems across industrial and enterprise domains. He combines academic rigor from a PhD program with hands-on engineering—delivering hybrid ML/Deep Learning solutions using Keras, TensorFlow, PyTorch and scikit-learn that have outperformed conventional methods on log and time-series data. At Clay he leads AI efforts, and previously drove high-impact projects at Pani Energy and the University of Victoria, including novel Auto-LSTM/Auto-GRU architectures and SeqGAN-based oversampling for imbalanced logs. He has a track record of turning research prototypes into reliable tools for hundreds of signals, optimizing pipelines for scale and speed while working closely with engineering and product teams. Based in Canada, Amir blends deep model development with practical deployment know-how and a persistent curiosity for new approaches in ML research.
10 years of coding experience
8 years of employment as a software developer
Master's Degree, Artificial Intelligence, A+, Master's Degree, Artificial Intelligence, A+ at Shahrood University of TechnologyDoctor of Philosophy - PhD, Electrical and Computer Enginnering, Doctor of Philosophy - PhD, Electrical and Computer Enginnering at University of Victoria
English, Persian
Github Skills (20)
cuda9
gpt8
inference8
amd8
pytorch8
tpu7
llm7
llama7
mlops7
transformer7
llmops6
xpu5
mlp2
machine-learning2
classification2
Programming languages (1)
Github contributions (5)
faamir/amirfarzad
Jul 2020 - Aug 2021
Contributions:151 pushes, 1 branch in 1 year
faamir/MLP
Apr 2018 - Feb 2021
Contributions:4 commits, 3 pushes, 1 branch in 2 years 10 months
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