Ramdoot Kumar
Principal Engineer at DocLens.ai
United Kingdom
Summary
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Top SchoolRamdoot Kumar is a Principal Engineer with eight years of focused experience building production-grade AI and ML systems, currently advancing agentic and generative AI products at DocLens.ai. He combines deep MLOps and ML full-stack expertise—Kubeflow, AWS SageMaker/Bedrock, Langchain/Langgraph—with hands-on computer vision deployments for Meraki Gen3 cameras. At Cisco he led integration of Kubeflow workflows with big-data stacks like Spark and enabled cross-cloud model serving on AWS and Azure, demonstrating both systems- and data-engineering fluency. He is skilled in LLM evals, LLMOps and building MCP server/client implementations that bridge research models to reliable services. Based in the UK with an M.E. from IISc, he blends academic networking foundations with practical cloud-native engineering. Less obvious: he uniquely pairs embedded/firmware roots from early firmware roles with modern AI infrastructure design, giving him a rare end-to-end perspective on edge-to-cloud ML delivery.
7 years of coding experience
14 years of employment as a software developer
M.E, Networking, M.E, Networking at IISC
Github Skills (34)
pytorch10
kubernetes10
kubeflow10
machine-learning10
llm10
huggingface10
automl10
ai10
lightgbm10
scikit-learn10
hyperparameter-tuning10
neural-architecture-search10
xgboost9
tensorflow9
mlops9
Programming languages (7)
Github contributions (5)
CiscoAI/KFLab
Jun 2018 - Jun 2019
Contributions:97 PRs, 29 pushes, 2 branches in 1 year
CiscoAI/cisco-kubeflow-starter-pack
Mar 2020 - Mar 2021
Contributions:1 release, 25 reviews, 94 PRs in 11 months
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