Summary
Hesam Haddad is a Machine Learning Engineer II with 11 years of experience building production-grade ML systems, specializing in NLP, recommendation engines, and automation. He combines hands-on expertise in Python, PyTorch, HuggingFace, and cloud-native tooling (GCP, Kubernetes, Kubeflow) with a track record of optimizing models for performance and cost at scale. Experienced in cross-border collaboration with teams in Amsterdam, Vancouver, and Toronto, he communicates technical trade-offs effectively to senior stakeholders and has mentored and led an engineering team of four. His background spans industry verticals from classifieds (Divar) to crypto asset analytics (FiCAS), giving him a pragmatic edge in applying ML to business metrics. Comfortable across the full lifecycle—research, fine-tuning LLMs, CI/CD, and deployment—he also contributes to the ML community as a blogger and podcaster focused on NLP and AI.
11 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Computer Software Engineering, Master of Science (MS) Computer Software Engineering at University of Tehran
Bachelor of Science (BSc) Computer Software Engineering, Bachelor of Science (BSc) Computer Software Engineering at University of Guilan