Jacob Pilkington

Senior Software Engineer

UnitedHealth Group

Jan 2024 - Feb 2026 (2 years 2 months)

• Architected and deployed advanced ML models (TensorFlow, PyTorch, Scikit-learn) for risk scoring, diagnostics, and patient outcome prediction, improving accuracy by 35%+ across large-scale healthcare datasets. • Built production-grade LLM + RAG systems for clinical documentation automation and decision support using vector databases, embeddings, and retrieval pipelines. • Designed high-performance microservices using FastAPI, Node.js, and ASP.NET Core, enabling real-time analytics and high-concurrency healthcare workloads. • Developed scalable MLOps pipelines (MLflow, Airflow, CI/CD) for automated training, validation, deployment, and monitoring of models in production. • Deployed cloud-native systems on AWS/Azure (EC2, S3, Lambda, AKS) u

Senior Full Stack & AI Engineer

Whatnot

Aug 2022 - Dec 2023 (1 year 5 months)

• Built low-latency, event-driven systems using WebSockets, Kafka, and streaming pipelines to power live bidding, chat, and real-time notifications at scale. • Developed AI-driven recommendation and ranking systems (TensorFlow, XGBoost) to personalize product discovery, improving engagement and conversion rates. • Designed and implemented microservices architecture using Node.js, Python, and ASP.NET Core, supporting catalog, orders, payments, and user services. • Engineered backend APIs (REST/GraphQL) optimized for high throughput and low latency, enabling seamless real-time interactions. • Built and optimized frontend systems using React, Next.js, and Angular, improving page load speed and real-time UI responsiveness. • Implemented distrib

AI & Full Stack Engineer

Oracle Health

Jan 2021 - Jul 2022 (1 year 7 months)

• Architected enterprise healthcare SaaS platforms integrating AI-driven clinical workflows and hospital management systems. • Built scalable ML pipelines for patient classification, recommendations, and operational optimization using Spark and Python. • Designed robust microservices architectures using Java (Spring Boot), Node.js, and ASP.NET Core, ensuring high availability and fault tolerance. • Implemented real-time data processing pipelines (Spark Streaming, Kafka) for clinical and operational data streams. • Developed complex frontend dashboards (Angular, React, TypeScript) providing actionable insights for clinicians and administrators. • Deployed cloud-native applications on AWS and Azure, leveraging containerization (Docker, Kubern

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AI / Full Stack Engineer

Stripe, Inc.

Jun 2019 - Dec 2020 (1 year 7 months)

• Engineered high-scale distributed payment systems handling millions of transactions with strong consistency and fault tolerance. • Built ML-based fraud detection and anomaly detection systems (Scikit-learn, TensorFlow), significantly reducing fraudulent activity. • Designed and optimized low-latency backend services using Node.js, Java, and ASP.NET Core, supporting global financial operations. • Developed internal tools and dashboards using React, Angular, and TypeScript for transaction monitoring and analytics. • Built and maintained high-performance APIs (REST/GraphQL) powering global payment infrastructure. • Improved system performance and reliability through caching, asynchronous processing, and distributed system design.

Full Stack Engineer

Cognizant Technology Solutions

Jun 2018 - May 2019 (1 year)

• Developed enterprise-grade applications using Node.js, and Java within microservices-based architectures. • Built robust RESTful APIs supporting large-scale financial and healthcare workflows. • Designed responsive frontend applications using Angular, React, and TypeScript, improving usability and performance. • Contributed to cloud deployments (AWS), containerization (Docker), and CI/CD pipelines. • Collaborated in agile teams delivering scalable, high-impact solutions for Fortune 500 clients. • Deployed services on AWS (EC2, RDS, S3) with CI/CD pipelines and monitoring systems.

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