Einar Horn

I am a Senior AI and Machine Learning engineer with 7+ years building production-grade ML and GenAI systems, specializing in NLP, LLMs, deep learning, and RAG. I focus on real-world reliability, performance, and measurable business impact across large-scale deployments.

At Meta I led design and implementation of enterprise time-series forecasting, distributed training and inference pipelines, and RLHF-powered AI assistants, while establishing model governance, monitoring, and experimentation frameworks. I have experience benchmarking GRU/LSTM/Transformer models in Spark/Databricks and applying contextual bandits, convex optimization, and reinforcement learning to business problems.

My background includes multimodal systems, computer vision, unsupervised entity extraction (two patents), and end-to-end ML infrastructure work at Bose, where I optimized training/inference on PyTorch and AWS and mentored junior engineers. I partner closely with product, data and business teams to translate models into outcomes.