Julian Thomas

I am a Senior MLOps and AI/ML engineer with 9+ years building scalable, AI-driven web applications and production machine learning systems. I specialize in accelerating model deployment and operationalizing LLMs using modern cloud and MLOps tooling.

I've delivered measurable impact by reducing deployment times, improving inference latency, and increasing data processing capacity across enterprise environments. My work spans end-to-end pipelines, from feature engineering and distributed data processing to model serving and observability.

Technically, I build containerized microservices and APIs with Python, Node.js, Flask, and FastAPI, and I deploy and manage cloud infrastructure using AWS, Azure, Kubernetes, Docker, Terraform, and CI/CD automation. I pair these capabilities with TensorFlow, PyTorch, Hugging Face, Spark, and Kafka to support real-time and large-scale ML workloads.

I take pride in designing resilient, monitored systems that maintain high availability and scale—delivering production LLM services, integrated frontends with React/Next.js, and robust MLOps practices that help teams ship AI features faster and reliably.