Jordan Rikard

Senior Full Stack Engineer and AI/ML Engineer with 10+ years of experience delivering scalable, cloudnative, and Al-enhanced platforms across e-commerce, energy, and healthcare. Strong focus on backend systems (Java 17, Kotlin, Python, Spring Boot, FastAPI), MLOps (MLflow, SageMaker, Airflow), and real-time data architectures (Kafka, Redis Streams). Experienced integrating LLMs, ranking models, and search pipelines with LangChain, PyTorch, and FAISS. Proficient in deploying microservices to AWS, Azure, and GCP using Kubernetes, Terraform, and CI/CD pipelines. Recognized for bridging ML engineering and production systems to drive real-world impact - reducing latency by 45%, boosting personalization accuracy by 30%, and serving millions of users securely and reliably.