tahnik@portfolio:~$ About
MLOps Engineer with deep expertise in distributed ML infrastructure and cloud-native technologies, specializing in Kubernetes, EKS, and automated deployment systems. Experienced in designing and implementing scalable ML pipelines, optimizing model serving infrastructure, and developing LLMOps/AIOps practices. Currently Lead ML and DataOps Engineer at poridhi.io, while consulting for startups and teaching AI engineering courses.
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• MLOps Pipeline Design (Kubernetes, EKS, KubeFlow, MLFlow)• AI Infrastructure & Model Serving (vLLM, TorchServe, Triton Inference Server)• LLMOps & AI Engineering (LangChain, LangGraph, AutoGen, PromptFlow)• Cloud & Data Engineering (AWS, Azure, GCP, Apache Kafka, Spark, Airflow)• AI Site Reliability Engineering (SLO/SLI, monitoring, automated failover)
Course Instructor: MLOps with Cloud, Backend Engineering, AI Engineering @ PoridhiHackathon Winner: Vivasoft AI Hackathon 2025Hackathon Organizer: Poridhi AI Engineering Hackathon 2025
Download Resume (Updated 2 months ago)