Rahul Dhide
Staff Product Designer at Crusoe
United States
Summary
🤩
Rockstar🎓
Top SchoolRahul Dhide is a Staff Product Designer with 8+ years building 0→1 generative AI products and AI-first experiences across companies like Meta, TikTok, Intuit, and startups focused on developer and monetization workflows. He blends systems thinking, hands-on design craft, and technical prototyping to shape human-AI collaboration, feedback loops, and model-informed product requirements. Known for turning ambiguous, research-heavy problem spaces into validated, scalable experiences, he leads discovery, rapid prototyping, and design sprints while defining principles and design systems that scale. Rahul also mentors and grows high-performing teams and brings rare cross-disciplinary fluency—able to write system instructions and simulate model responses to drive product decisions. Based in the United States, he pairs a background in human–computer interaction and human factors with a curiosity for turning cutting-edge AI into measurable business impact.
8 years of coding experience
5 years of employment as a software developer
Human-computer interaction, Human-computer interaction at Kanwal Rekhi School of Information Technology, Indian Institute of Technology BombayUser research and analysis, User research and analysis at Human Factors InternationalBachelor of Applied Arts, Bachelor of Applied Arts at Abhinav Art SchoolExperience design for wearable and smart devices, Experience design for wearable and smart devices at UCSC Silicon Valley Extension
Github Skills (16)
gitops10
machine-learning10
hpa10
k8s10
batch-processing10
knative9
argo9
data-engineering9
cloud-native9
mlops9
workflow-engine9
argo-workflows9
kubernetes9
dag8
workflow-automation8
Programming languages (1)
Github contributions (4)
rahuldhide/dashboard
Dec 2017 - Dec 2017
Contributions:2 pushes, 1 branch in 1 day
web-uiclusterspurposekubernetes-clusterskubernetes
argoproj/argo-workflows
Dec 2017 - Dec 2017
Workflow Engine for Kubernetes
Contributions:2 commits, 4 PRs, 3 pushes in 1 day
workflow-automationdagworkflow-enginemachine-learninghpa
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