J
Jacob Pilkington
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San Francisco, California, United States
Résumé
Jobs
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Senior Software EngineerUnitedHealth GroupJan 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 mo- Senior Full Stack & AI EngineerWhatnotAug 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 R - AI & Full Stack EngineerOracle HealthJan 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 admini - SAI / Full Stack EngineerStripe, 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 - Full Stack EngineerCognizant Technology SolutionsJun 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.
Education
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- Bachelor of Science in Computer ScienceLouisiana State UniversityAug 2014 - May 2018 (3 years 10 months)