Alexander Booth

Senior Software Engineer with Product Owner experience defining AI-powered product vision, strategy, roadmap, user stories, acceptance criteria, and measurable KPIs for scalable GenAI, AI/ML, and data-driven product development. Experienced delivering LLMs, prompt engineering, RAG architectures, vector databases, model evaluation, and ML lifecycle capabilities with engineering, data science, UX, and business stakeholders. Strong background integrating GenAI into enterprise workflows including copilots, chatbots, automation, content generation, NLP, predictive analytics, and experimentation through POCs and rapid prototyping.

Cloud-native engineer skilled in responsible AI, model governance, data privacy, MLOps frameworks, Kubernetes, CI/CD, IaC, observability, and executive stakeholder communication.

Senior Software Engineer at GitHub (2021-08 – Present)

• Led GenAI roadmap execution for developer workflow capabilities using LLMs, RAG architectures, TypeScript, React, and GraphQL, improving task completion 31%.
• Mentored engineers on prompt engineering, model evaluation, responsible AI, and acceptance criteria, raising release quality across eight cross-functional product squads.
• Translated complex AI/ML concepts into user stories and acceptance criteria for Copilot-style automation, aligning data science, UX, and business stakeholders.
• Built scalable AI-powered product features with Python, Node.js, vector databases, embeddings, and Kubernetes, reducing response latency 42% at enterprise scale.
• Prioritized backlog items using customer value, feasibility, business impact, telemetry, and KPIs, improving adoption of developer automation workflows 28%.
• Partnered with ML engineers on model monitoring, evaluation datasets, data privacy controls, and governance workflows for responsible AI release readiness.
• Delivered cloud-native services on AWS with Terraform, Docker, GitHub Actions, CI/CD, and observability, sustaining 99.95% availability for production APIs.
• Created shared libraries, RFCs, and internal platform components for AI-powered user experiences, helping teams standardize experimentation and rapid prototyping.
• Enhanced full-stack enterprise dashboards using React, GraphQL, PostgreSQL, Progressive Web Apps, service workers, and Core Web Vitals performance budgets.

Senior Software Engineer at Specialized Bicycle Components (2020-06 – 2021-07)

• Developed data-driven commerce and rider experience platforms with React, Node.js, GraphQL, and PostgreSQL, increasing digital conversion 18%.
• Integrated predictive analytics into inventory and service workflows using Python, Snowflake, Kafka, and AWS, improving demand planning accuracy 22%.
• Shaped product requirements with UX and business stakeholders for AI-powered user experiences across mobile, ecommerce, and connected-bike workflows.
• Implemented experimentation, POCs, and rapid prototyping for personalization engines using embeddings, recommendation models, and measurable customer KPIs.
• Built cloud-native APIs with Docker, Kubernetes, Terraform, GitHub Actions, and CI/CD, reducing release cycle time from weekly to daily.
• Improved Progressive Web Apps with service workers, offline/cache strategies, responsive delivery, and Core Web Vitals budgets, lifting mobile performance 35%.
• Collaborated with data engineering teams on data pipelines, feature stores, model monitoring, and privacy controls supporting predictive analytics initiatives.

Machine Learning Engineer at Corvus Insurance (2019-09 – 2020-05)

• Built cyber insurance analytics workflows using Python, React, REST APIs, PostgreSQL, and AWS, accelerating underwriting decisions by 26%.
• Implemented predictive analytics services for risk scoring with data engineering pipelines, model evaluation, and monitored APIs for portfolio insights.
• Delivered secure cloud-native deployments using Kubernetes, Docker, Terraform, CI/CD, audit logging, and RBAC for regulated insurance workflows.
• Translated underwriting stakeholder needs into user stories and acceptance criteria, connecting AI/ML concepts to measurable business value and KPIs.

Software Engineer at University of New Hampshire (2011-09 – 2019-05)

• Built full-stack student and research platforms using React, Node.js, Python, REST APIs, and PostgreSQL, supporting 30,000 users.
• Developed data analytics dashboards and automation workflows with ETL pipelines, role-based access, and privacy controls for academic operations.
• Modernized cloud-native infrastructure with AWS, Docker, Kubernetes, Terraform, Jenkins CI/CD, and monitoring, improving uptime to 99.9%.
• Improved responsive web delivery through Progressive Web Apps, service workers, offline/cache strategies, and Core Web Vitals performance optimization.

Bachelor's Degree in Mechanical Engineering – University of Maine