π Hi, Iβm Aditya Mallikarjun
Infrastructure Engineer | MLOps Enthusiast
I build at the intersection of Machine Learning and DevOps. My focus is on creating self-healing, scalable systems that bridge the gap between model development and production-grade reliability.
β’ π Current Project: Architecting an Autonomous RAG pipeline with automated CI/CD and monitoring.
β’ β‘ The Goal: Automating the "boring stuff" so data scientists can deploy with confidence.
β’ π οΈ Tech Stack: * Cloud & Infra: Terraform, Docker, Kubernetes (K8s), AWS.
β’ MLOps: MLFlow, DVC, Vector DBs (Pinecone/Milvus).
β’ CI/CD: GitHub Actions, ArgoCD, Linux/Bash.
Hi, I'm Aditya Mallikarjun
Aspiring MLOps Engineer | CSE 2027
I don't just train models; I build the systems that keep them alive in production.
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Self-healing-system
Self-healing-system PublicA production-oriented self-healing infrastructure system implementing chaos engineering principles, where containerized services are intentionally disrupted (Chaos Monkey) and automatically recoverβ¦
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agenta
agenta PublicForked from Agenta-AI/agenta
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
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