Software Engineer

JOSEPH KALE

STAFF SOFTWARE ENGINEER

309-***-**** *************@*******.*** Peoria, IL Linkedin TECHNICAL SKILLS

● Languages : JavaScript, TypeScript, Python, Go, Java, C#, Ruby, SQL, C/C++, Bash

● Frontend : React, Next.js, Vue, Angular, Tailwind CSS, Microfrontend

● Backend & APIs : Node.js Express.js, Django, FastAPI, SpringBoot, .NET, Ruby on Rails, gRPC, GraphQL, RESTful APIs

● Data & Databases : MySQL, PostgreSQL, MongoDB, Redis, DynamoDB, Snowflake, S3, Amazon Redshift, Azure Synapse, BigQuery

● Messaging & Eventing : Apache Kafka, RabbitMQ, AWS SNS/SQS, EventBridge, Azure Service Bus, Pub/Sub Systems

● AI/ML/LLMs & GenAI : OpenAI APIs, LangChain, RAG Pipelines, Vector Databases, Hugging Face Transformers, ML, TensorFlow, KubeFlow

● Cloud & Platform Engineering : AWS, Azure, GCP, Kubernetes, Docker

● DevOps : IaC, Terraform, CI/CD Pipelines, Jenkins, GitHub Actions, CircleCI, CloudFormation

● Observability : Prometheus, Grafana, CloudWatch

● Testing : Unit Testing, Integration Testing, E2E Testing, JUnit, RSpec, Pytest, Jest, Mocha, Cypress, Playwright

● Architecture & Engineering Practices : Microservices Architecture, Event-Driven Systems, Agile, Scrum, Kanban WORK EXPERIENCE

Tempus AI Chicago, IL

Staff Software Engineer Oct, 2018 - Present

● Led AI-powered backend and platform development at Tempus AI in a fast-paced environment, delivering HIPAA-compliant solutions that enabled physicians to retrieve critical data in seconds, shortened model deployment cycles from weeks to days, processed over 8 million records, driving faster clinical decisions.

● Developed scalable backend microservices for Tempus One using Java/Spring Boot and Node.js on AWS EKS/EC2, powering natural language queries for patient reports and biomarkers, enabling seamless EHR integration, helping physicians retrieve critical data in seconds and cutting administrative time by 40%.

● Engineered real-time data synchronization engine with Apache Kafka, connecting AWS S3 and RDS with GCP services, keeping patient information current across systems and enabling faster, more accurate clinical decisions.

● Implemented alerting system with Spring Boot and Google Cloud Functions, notifying care teams of missed biomarker tests via FHIR-enabled workflows and helping hospitals close care gaps, resulting in 25% higher adherence to precision oncology protocols and improved patient safety.

● Built the generative AI clinical assistant with Python/FastAPI, Google GKE and Vertex AI Engine, helping doctors quickly retrieve biomarker results and matching clinical trials, which accelerated treatment decisions for cancer patients.

● Created scalable ML feature engineering platform using PyTorch and NumPy that efficiently processed over 8 million records, speeding up research insights and supporting new drug development partnerships.

● Designed high-performance data warehouse for Tempus Lens leveraging BigQuery, PostgreSQL, Apache Spark and Redis, accelerating complex analytical queries by 60% and helping research teams identify treatment response patterns to advance precision medicine.

● Built responsive web components for clinical assistant using React/Next.js with TypeScript, allowing doctors to access critical biomarker results and clinical trial matches from any device during rounds.

● Enhanced mobile-first patient experience with React Native, enabling seamless access to health information on phones and driving higher app retention and satisfaction scores.

● Established comprehensive automated testing framework using Cypress integrated with backend validation, raising test coverage to 92%, minimizing critical bugs, and boosting reliability for physicians.

● Maintained CI/CD pipelines with Jenkins, Docker, and Kubernetes (EKS/GKE), automating deployments and shrinking release cycles from weeks to hours for faster delivery of clinical assistant improvements.

● Provisioned scalable Kubernetes clusters using Terraform and CloudFormation, integrated Prometheus, Grafana, and CloudWatch monitoring, and reduced mean time to resolution for research platform issues by 45%.

● Facilitated bi-weekly Sprint Reviews with stakeholders, incorporating rapid feedback to refine AI responses and increase physician adoption and satisfaction.

● Mentored 4 junior engineers on backend and AI best practices, accelerating their contributions to the clinical assistant and shortening delivery timelines for time-saving physician features. Google Mountain View, CA

Senior Software Engineer Sep 2014 - Aug 2018

● Built scalable backend systems for Google Pay using Go and Node.js integrated with GCP services such as BigQuery, Firestore, and Cloud Functions to support millions of daily transactions.

● Created fraud detection and transaction classification models in Python and Django, reducing fraudulent transactions by 28% while improving personalized user experiences.

● Improved real-time data processing pipelines using Pub/Sub Systems and Node.js, which increased system throughput by 35% and reduced latency by 45% for high-volume payment transactions.

● Secured the payment infrastructure for full PCI-DSS compliance through tokenization, encryption, and OAuth 2.0/OpenID Connect in Go, safeguarding user authentication and transaction privacy.

● Developed responsive web interfaces using Angular, enabling users to manage payments and view transaction history, resulting in a 25% improvement in user engagement and faster checkout times.

● Added NFC and QR code payment capabilities into Google Pay via Node.js services, broadening contactless payment options and increasing contactless transaction volume by 40% for millions of users worldwide.

● Developed robust RESTful APIs and microservices architecture to ensure fault tolerance and high availability, handling peak loads of over 10,000 transactions per second.

● Managed CI/CD pipelines with CircleCI, Kubernetes, and Docker, speeding up release cycles and cutting system downtime by 40%.

● Worked with cross-functional teams in an Agile environment, applying Test-Driven Development and Firebase for real-time analytics, user management, and messaging to improve transaction monitoring and activity tracking. EDUCATION

Northern Illinois University Dekalb, IL

Bachelor of Science in Computer Science 2010 - 2014

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