AI/ML Platform Development, Inference Optimization, LLMOPS, MLOPS
Anand Shanmugam
@anandshanmugam
Highly Experienced Software Engineer with experience in MLOPS Platform Engineering
What I'm looking for
Interested in Platform Engineering, MLOPS system Design, DevOps Engineering. Currently working on Developing an AI platform
Experience
Work history, roles, and key accomplishments
Architected a unified enterprise AI infrastructure platform, designing APIs and lifecycle patterns across KServe, MLflow, Spark, and Argo Workflows. Led GPU-accelerated inference, LLM serving with vLLM, and service mesh security with Istio.
Developed backend microservices and features for the Intersight Kubernetes Service (IKS) container management platform. Led development of a centralized observability and logging platform for OpenStack clouds.
Performed performance benchmarking of NFVI platforms using OPNFV and industry-standard tools. Integrated orchestration tools with OpenStack VIM and configured SDN solutions.
Developed features and REST APIs for the Cisco private cloud platform built on OpenStack. Contributed upstream to OpenStack open-source projects and deployed OpenStack clouds for testing VNF scenarios.
Senior Engineer
CSC India (PayPal India)
Mar 2011 - Feb 2013 (1 year 11 months)
Designed and developed a unit testing framework based on Google Test, adopted across PayPal engineering teams. Built unit test prototypes covering 95% of unique cases in the PayPal codebase.
Developed a multithreaded web engine to replace the Apache proxy engine, improving Cisco CDN server efficiency. Optimized HTTP response generation for reduced latency in high-throughput serving.
Software Engineer
Alcatel-Lucent Development India
Oct 2005 - Jan 2010 (4 years 3 months)
Developed features and fixed bugs for OmniPCX media gateway firmware. Built a fully automated distributed build system reducing compilation time from 3 hours to 50 minutes.
Education
Degrees, certifications, and relevant coursework
Anand hasn't added their education
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