Karthik Selvam is a software developer with eight years of experience building large-scale AI and data systems, currently focused on multi-agent orchestration and generative AI backends at AWS from Menlo Park. He combines strong ML engineering (LLMs, PyTorch, SageMaker, Bedrock) with hands-on backend and data engineering, delivering fault-tolerant APIs, high-throughput pipelines, and observability for production ML workflows. His background spans data analytics for public policy, telco predictive models, and enterprise networking, giving him a rare blend of production ML, SQL/Python/Java engineering, and domain-driven impact. He mentors teams on deployment best practices, authors community-focused demos and tutorials, and participates in on-call reliability and incident mitigation. Notably, his work bridges academic rigor (PhD-level ML systems experience reflected in his GitHub activity) with pragmatic cloud-native engineering that scales.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at Dayananda Sagar Institutions
Master of Science - MS, Management Information Systems - Business Analytics, Master of Science - MS, Management Information Systems - Business Analytics at California State University, Fullerton
Contributions:21 commits, 3 PRs, 16 pushes in 7 months
cpptensorflow-litetensorflowlitetflite
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Karthik Selvam - Software Developer at Amazon Web Services (AWS)