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Hello! I'm a Staff Software Engineer with 10 years building production-grade platforms at the intersection of healthcare, fintech, and AI. I specialize in architecting distributed microservices, scalable APIs, and AI/ML-powered systems, with a track record of integrating LLMs, RAG pipelines, and agentic workflows into real-world products used by millions. Beyond code, I strive to drive measurable business impact through engineering excellence and close collaboration with product, design, and data teams. I'm passionate about building accessible, reliable software and mentoring teams to reach their full potential.…Hello! I'm a Staff Software Engineer with 10 years building production-grade platforms at the intersection of healthcare, fintech, and AI. I specialize in architecting distributed microservices, scalable APIs, and AI/ML-powered systems, with a track record of integrating LLMs, RAG pipelines, and agentic workflows into real-world products used by millions. Beyond code, I strive to drive measurable business impact through engineering excellence and close collaboration with product, design, and data teams. I'm passionate about building accessible, reliable software and mentoring teams to reach their full potential.

Andrew Osborn

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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Hello! I'm a Staff Software Engineer with 10 years building production-grade platforms at the intersection of healthcare, fintech, and AI. I specialize in architecting distributed microservices, scalable APIs, and AI/ML-powered systems, with a track record of integrating LLMs, RAG pipelines, and agentic workflows into real-world products used by millions. Beyond code, I strive to drive measurable business impact through engineering excellence and close collaboration with product, design, and data teams. I'm passionate about building accessible, reliable software and mentoring teams to reach their full potential.…Hello! I'm a Staff Software Engineer with 10 years building production-grade platforms at the intersection of healthcare, fintech, and AI. I specialize in architecting distributed microservices, scalable APIs, and AI/ML-powered systems, with a track record of integrating LLMs, RAG pipelines, and agentic workflows into real-world products used by millions. Beyond code, I strive to drive measurable business impact through engineering excellence and close collaboration with product, design, and data teams. I'm passionate about building accessible, reliable software and mentoring teams to reach their full potential.

Available to hire

Hello! I’m a Staff Software Engineer with 10 years building production-grade platforms at the intersection of healthcare, fintech, and AI. I specialize in architecting distributed microservices, scalable APIs, and AI/ML-powered systems, with a track record of integrating LLMs, RAG pipelines, and agentic workflows into real-world products used by millions.

Beyond code, I strive to drive measurable business impact through engineering excellence and close collaboration with product, design, and data teams. I’m passionate about building accessible, reliable software and mentoring teams to reach their full potential.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Javanese

Advanced

Work Experience

Staff Software Engineer — Hugging Face Hub at Hugging Face

June 1, 2022 - Present

Built end-to-end model inference dashboards with a Next.js/React frontend and FastAPI/Python backend, scaling to 500K+ daily inference requests across global edge deployments with a responsive UI and high-throughput API design. Architected and integrated RAG pipelines and agentic AI workflows into the core platform using LangChain, LlamaIndex, and OpenAI/Anthropic APIs, enabling 2M+ developers to build production-grade LLM applications with improved accuracy and reduced hallucinations. Designed and optimized data pipelines and vector database solutions (PostgreSQL + pgvector, DynamoDB) powering AI-driven semantic search and recommendations; improved query throughput and latency via batching, indexing, and async ingestion. Cut query latency by 45% by deploying optimized vector embeddings with Redis caching layers and async task queues for inference fan-out. Led migration to domain-driven microservices on AWS EKS + Bedrock, increasing deployment frequency and ensuring fault isolation. Ow

Senior Software Engineer — MinuteClinic Digital at CVS Health

March 1, 2019 - May 1, 2022

Spearheaded full-stack development of MinuteClinic Digital Tools (Clinic Scheduling & Virtual Care), driving a 25% increase in online appointments and improving patient engagement. Integrated AI/ML capabilities for predictive patient engagement and personalized healthcare recommendations using Python, TensorFlow, and Databricks. Architected backend microservices with Java, Spring Boot, Node.js; REST/GraphQL; integrated with Epic EHR; Redis; RabbitMQ/Kafka for secure real-time data access. Designed robust data pipelines (PostgreSQL, DynamoDB, ETL) and improved query performance by 30% under high load. Reduced system latency by 40% via asynchronous processing and caching. Led AWS cloud-native architecture (Lambda, ECS/EKS, S3, CloudWatch, RDS, API Gateway) and end-to-end CI/CD with Jenkins, GitHub Actions, and Terraform, cutting deployment time by 50%. Delivered cross-platform experiences with React, Angular, TypeScript, React Native, Swift, and Kotlin.

Software Engineer — Robinhood Gold at Robinhood

October 1, 2016 - February 1, 2019

Built trading dashboards with React, Next.js, Redux, and TypeScript for real-time stock and options data supporting 50K+ active users; improved interface responsiveness by 30%. Integrated real-time market data feeds with WebSockets and Kafka for instantaneous trade notifications, reducing user decision latency. Developed secure RESTful APIs with Node.js and Express for account management handling substantial daily volumes. Optimized backend with Python and PostgreSQL, increasing API throughput and reducing latency during high volatility. Delivered feature enhancements (margin insights, instant deposit) improving retention and premium conversions; increased test coverage and championed containerization and CI/CD practices.

Staff Software Engineer at Hugging Face

June 1, 2022 - Present

Led end-to-end model inference dashboards with a Next.js/React frontend and FastAPI/Python backend, scaling to 500K+ daily inference requests across global edge deployments with a responsive UI and high-throughput API design. Architected and integrated RAG pipelines and agentic AI workflows into the Hugging Face Hub core platform using LangChain, LlamaIndex, and OpenAI/Anthropic APIs — enabling 2M+ developers to build production-grade LLM applications with 65% improved response accuracy and reduced hallucinations. Designed and optimized data pipelines and vector database solutions using PostgreSQL + pgvector and DynamoDB, powering AI-driven semantic search and recommendation engines; improved query throughput and reduced end-to-end latency through batching, indexing, and async ingestion strategies. Cut query latency by 45% by deploying optimized vector embeddings with Redis caching layers and async task queues (Kafka/RabbitMQ) for inference request fan-out, ensuring consistent perfor

Senior Software Engineer at CVS Health

March 1, 2019 - May 1, 2022

Spearheaded full-stack development of MinuteClinic Digital Tools (Clinic Scheduling & Virtual Care), a scalable platform connecting patients with in-clinic and virtual healthcare, driving a 25% increase in online appointments and significantly improving patient engagement. Integrated AI/ML capabilities for predictive patient engagement and personalized healthcare recommendations using Python, TensorFlow, and Databricks; architected backend microservices using Java, Spring Boot, Node.js, REST/GraphQL, and integrated with Epic EHR, Redis, RabbitMQ/Kafka, ensuring secure real-time patient data access at scale. Designed robust data pipelines using PostgreSQL, DynamoDB, and ETL workflows, improving query performance by 30% under high-load conditions and enabling reliable analytics and reporting. Reduced system latency by 40% through asynchronous processing, intelligent caching strategies, and message queue architecture, ensuring scalability during peak traffic periods. Led cloud-native arch

Software Engineer at Robinhood

October 1, 2016 - February 1, 2019

Built trading dashboards with React, Next.js, Redux, and TypeScript supporting real-time stock and options data for 50K+ active users, improving interface responsiveness by 30%. Integrated real-time market data feeds with WebSockets and Kafka, providing instantaneous trade notifications and reducing user decision latency by 60%. Developed secure RESTful APIs with Node.js and Express for Robinhood Gold account management, handling over $100M in daily transaction volume. Optimized backend systems using Python and PostgreSQL, improving API throughput by 25% and reducing latency during high-volatility periods. Delivered feature enhancements (margin insights, instant deposit) improving user retention and premium conversions. Increased test coverage from 50% to 70% using Jest and Selenium; championed Docker containerization and CI/CD practices.

Software Engineer at Robinhood Gold

October 1, 2016 - February 1, 2019

Built and optimized trading dashboards with React, Next.js, Redux, and TypeScript supporting real-time stock and options data for 50K+ active users, improving interface responsiveness by 30%. Integrated real-time market data feeds with WebSockets and Kafka, providing instantaneous trade notifications and reducing user decision latency by 60%. Developed secure RESTful APIs with Node.js and Express for Robinhood Gold account management, handling over $100M in daily transaction volume. Optimized backend systems using Python and PostgreSQL, improving API throughput by 25% and reducing latency during high-volume market volatility periods. Delivered feature enhancements (margin insights, instant deposit) improving user retention and conversions. Increased test coverage from 50% to 70% using Jest and Selenium; championed Docker containerization and CI/CD best practices across the team.