Farshad Ghodsian
Senior AI Engineer - Accelerated Computing
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolFarshad Ghodsian is a Senior AI Engineer focused on accelerated computing with seven years of experience building large-scale ML, MLOps and Generative AI platforms. He blends hands-on engineering and product strategy from roles at NVIDIA and AMD to design AI cluster management, Kubernetes-based deployments, and high-performance inference/training solutions. Previously he led enterprise GenAI and RAG platform projects across AWS, Azure and GCP, delivering secure, production-ready pipelines, microservices for PII detection, and safety guardrails for assistant chats. Comfortable moving between developer docs, demos and pre-sales, he’s equally at home mentoring teams and authoring technical content to help customers adopt ROCm and AI infrastructure. Based in Toronto, he brings systems architecture and cloud-native pragmatism to bridge research-grade models with operational data center deployments—often surfacing operational needs that accelerate product roadmaps.
7 years of coding experience
1 year of employment as a software developer
Majored in Biology, Majored in Biology at York UniversityGraphic Design, Graphic Design at International Academy of Design & Technology-Toronto
Github Skills (40)
kubeflow-pipelines10
jupyter9
notebook9
kubeflow9
golang9
k8s9
cuda9
minikube8
gpt8
inference8
hat8
kustomize8
llama8
llm8
amd8
Programming languages (6)
Github contributions (5)
farshadghodsian/rocm-gpu-operator
Nov 2024 - Mar 2025
Contributions:37 pushes, 14 branches in 3 months
farshadghodsian/device-metrics-exporter
Nov 2024 - Mar 2025
Device Metrics Exporter exports metrics from AMD devices (GPUs) to collectors like Prometheus.
Contributions:10 pushes, 6 branches in 3 months
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