Kartik S.

WORK HISTORY

EDUCATION

ABOUT KARTIK S.

Senior MLOps / GenAI Platform Engineer | AWS Cloud | Python | Spark | LLMOpsMLOps Engineer with deep hands-on experience building production-grade ML and GenAI platforms on AWS, specializing in end-to-end ML lifecycle automation, GenAI systems, and cloud-native ML infrastructure.Currently at BMO, I design, deploy, and operate scalable ML & GenAI solutions supporting commercial banking including lead generation models, risk rating systems, and AI-powered policy assistants using AWS Bedrock + Claude. I work across the full stack: data ingestion → model training → deployment → monitoring → governance.What I bring: Designed and automated MLOps / LLMOps pipelines (training, batch & API inference) using Python, Spark, Lambda, Step Functions, Jenkins, and API Gateway Built GenAI systems including RAG pipelines, agentic workflows, prompt orchestration, and vector search integrations Architected AWS-native ML platforms using SageMaker, Glue, S3, Redshift, Athena, Lake Formation Led Dataiku ML workload migration from on-prem to AWS, modernizing legacy pipelines into cloud-native architectures Implemented Infrastructure as Code using Terraform & CDK to accelerate ML onboarding Reduced platform incidents by 60% through automation, monitoring, and CI/CD improvements Strong experience with Spark, Hadoop, ETL pipelines, Kubernetes, Docker, and GitHub ActionsI thrive at the intersection of data engineering, ML engineering, and cloud infrastructure, translating business problems into scalable AI systems.I’m passionate about:• Production ML systems• GenAI platforms (RAG + agentic AI)• Cloud automation• ML reliability & governanceCurrently open to Senior MLOps Engineer / GenAI Platform Engineer / ML Engineer roles.