Vamsi Gutta is a Senior Software Engineer based in Bengaluru with 7 years of experience building production-grade software and applied machine learning solutions. Currently at IBM, he combines ML expertise with cloud-native engineering, having previously built end-to-end ML prototypes for disaster response and solar adoption at Omdena and Converz. He has deep hands-on experience in Kubernetes/EKS, AWS, observability stacks, and microservices, and has improved performance and deployment pipelines across telecom and network-management products. Vamsi’s background in communication engineering and early work on network protocols and automated OS deployments give him a pragmatic systems-level view that informs his ML and full-stack implementations. He pairs research-minded model work (autoencoders, instance segmentation, federated learning) with practical delivery—streamlit UIs, Electron apps, and helm charts—to move prototypes into usable tools. Colleagues would describe him as a versatile engineer who bridges infrastructure, ML, and frontend experience to solve real-world problems.
neural style transfer implemented & deployed in Heroku using Streamlit & PyTorch
Contributions:1 PR, 15 pushes, 1 branch in 3 years 7 months
pytorchherokupythonstyle-transferseq2seq
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