Joseph Kale

I’m a Staff Software Engineer who leads AI-powered backend and platform development in fast-paced environments, delivering HIPAA-compliant solutions that help teams retrieve critical data in seconds. At Tempus AI, I’ve driven measurable improvements across model deployment speed, data processing scale, and system reliability.

I built scalable microservices for Tempus One using Java/Spring Boot and Go on AWS (EC2/EKS), powering natural language queries and smoother EHR integration. I engineered real-time synchronization with Apache Kafka, Redis, and DynamoDB, and optimized analytics pipelines with Python, Apache Spark, and PostgreSQL—helping researchers uncover insights faster. I also implemented alerting with Spring Boot and AWS Lambda through FHIR-enabled workflows, increasing adherence by 25% and improving patient safety.

I helped create a generative AI clinical assistant with Python/FastAPI, TensorFlow, and LLMs so doctors can quickly retrieve biomarker results and match clinical trials. From there, I built an ML feature engineering platform (PyTorch/NumPy) processing 8M+ records, and designed a high-performance data warehouse that accelerated complex analytical queries by 60%.

I’m equally focused on engineering excellence: I established automated testing to reach 92% coverage, maintained CI/CD with Jenkins and Kubernetes/Docker to shrink release cycles from weeks to hours, and used Terraform/CloudFormation plus Prometheus/Grafana/CloudWatch to reduce mean time to resolution by 45%. I enjoy collaborating with stakeholders through Sprint Reviews and mentoring junior engineers to strengthen backend and AI best practices.