Varun Vohra is a Machine Learning Engineer based in Atlanta with nine years of experience designing and productionizing AI/ML solutions across retail and media. He has built recommendation and computer vision systems at The Home Depot and Turner, and now helps clients deploy scalable ML pipelines and cloud-native solutions at Slalom. Varun combines hands-on model development (including GPU acceleration, Kubeflow/Kubernetes, Spark/Beam) with pragmatic MLOps—containerization, A/B testing, and human-in-the-loop validation—to move models from prototype to production. His academic foundation (MS in Analytics, 3.92 GPA) and experience training peers enable him to bridge technical depth with cross-team collaboration and measurable business impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, 3.5/4.0, Bachelor’s Degree, Computer Science, 3.5/4.0 at Delhi Technological University (Formerly DCE)
Master’s Degree, Analytics, 3.92/4.0, Master’s Degree, Analytics, 3.92/4.0 at Georgia State University
Contributions:2 pushes, 1 branch in 1 year 2 months
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