Kevin Knights's Linkedin Analytics

MLOps & Machine Learning Engineer with 5 years of experience building production-grade AI systems. Specialized in Large Language Model applications, having improved LLM accuracy by 30% using RAG architectures and reduced inference costs by 95% through model optimization (LLaMA, LoRA, PEFT). Led end-to-end MLOps initiatives that cut model deployment time from 7 days to 24 hours and reduced infrastructure costs by 40%. Expertise spans the full ML stack: feature stores (Feast), vector databases (PGVector), model registry (MLflow), and orchestration (Airflow, Kubernetes). Currently, driving AI transformation at AES, previously at Dell Technologies, focusing on scalable ML systems that deliver measurable business impact. Microsoft Certified Trainer and regular speaker at AI conferences, committed to knowledge sharing and mentoring in the ML community. Technical stack: PyTorch, TensorFlow, HuggingFace, JAX, Kubernetes, Azure AI, GCP Vertex AI Open to relocation opportunities!