Alexander Weaver Senior Software Engineer
Summary

Senior backend and platform engineer with deep expertise in AI-driven distributed systems, large-scale data pipelines, real-time runtimes, and high‑performance backend architecture. I design and build scalable, resilient, and secure systems that power AI agents, multimodal pipelines, and mission‑critical analytics workloads. My experience spans LLM orchestration, microVM execution environments, REST API design, cloud infrastructure, and data processing systems across healthcare, real estate, commerce, and enterprise environments. I thrive in early-stage, high‑ownership roles where backend engineering directly shapes product direction and customer impact.

Skills
Programming Languages

JavaScript, TypeScript, Python, Go, Java

Backend & Platform Engineering

Node.js, Go, Python (FastAPI), Elixir, Phoenix, Absinthe, REST APIs, GraphQL, service-oriented architecture, backend scalability, performance optimization, HIPAA-compliant backend systems, RBAC, encryption, audit logging, serverless runtimes, microVM execution environments

AI / Machine Learning & GenAI Systems

OpenAI, Claude, Gemini, Gemini Enterprise, DeepSeek, LangChain, LangGraph, LangSmith, RAG pipelines, AI agents, multimodal systems (STT → LLM → TTS), real-time conversational AI, hybrid search, AI observability

Cloud, DevOps & Reliability Engineering

AWS, GCP, Azure, Docker, Kubernetes, Terraform, Vercel, GitHub Actions, CircleCI, Jenkins, OpenTelemetry, Prometheus, logging & monitoring systems, serverless compute (Lambda), microVM orchestration, Vertex AI Pipelines, Vertex AI Vector Search, Vertex AI Monitoring

Frontend Architecture

React, Next.js, TypeScript, Redux, Zustand, React Query, WebRTC UI flows, component-driven architecture, Storybook, Tailwind CSS, Material UI, SCSS, performance optimization (code splitting, lazy loading, bundle analysis), real-time browser communication (WebSockets, WebRTC)

System Design & Architecture

Distributed systems, scalable system design, event-driven architecture, microservices, real-time systems, multimodal AI pipelines, secure sandboxed runtimes (v8 isolates, Firecracker microVMs), API design, system integration, authentication & authorization, caching strategies, message-driven architectures (Kafka), high-availability systems, retrieval-grounded workflows

Data Systems

PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, pgvector, Pinecone, FAISS, real-time data synchronization, distributed caching, event-driven data pipelines

Experience
MaxHome.AI, Senior Software Engineer
01/2025 – 03/2026 | Richardson, TX
  • •Operated as an AI-native engineer, using Claude Code and other AI tools as a core part of the daily development workflow to accelerate coding, refactoring, test generation, debugging, and documentation while maintaining high standards for correctness, security, and maintainability.
  • •Designed and refined AI-assisted development practices for generating safe, auditable TypeScript and Python modules, then rigorously reviewed, validated, and hardened the AI-generated code before it entered production systems.
  • •Built production-grade backend services, agent orchestration layers, and secure execution environments in TypeScript/Node.js, treating AI-generated code as a first-class input that required careful review for performance, security isolation, and long-term maintainability.
  • •Orchestrated end-to-end AI-assisted workflows that spanned code generation, sandbox execution, automated validation, and iterative refinement, significantly shortening feedback loops and improving delivery speed on complex features.
  • •Designed and implemented clean, well-structured APIs and runtime components that integrated AI-generated tools and custom agent logic, balancing rapid iteration with scalable, maintainable architecture.
  • •Collaborated closely in a high-ownership environment to define and improve AI-native engineering standards, providing feedback on prompts, guardrails, and review practices that made AI-assisted development more reliable across the team.
  • •Diagnosed and resolved issues across configuration, generated code, database interactions, and runtime behavior, using AI tools to accelerate root-cause analysis while applying strong engineering judgment to ensure production safety.
    • OPTUM, Full Stack Engineer
    11/2022 – 12/2024 | Miami, FL
  • •Applied AI-assisted engineering practices to build and iterate on production software that connected internal APIs, clinical data, and operational systems, using AI tools to accelerate investigation, code changes, and validation in a regulated environment.
  • •Reviewed and refined AI-generated diagnostic and workflow logic to ensure correctness, security (HIPAA alignment), and maintainability before deployment into clinician-facing and operational systems.
  • •Designed and implemented clean backend services and retrieval-grounded components that supported reliable end-to-end feature delivery, balancing speed of AI-assisted development with the quality and auditability required in healthcare.
  • •Collaborated with cross-functional engineers and domain experts to translate complex requirements into working software, communicating technical tradeoffs clearly while operating in an ambiguous, high-context environment.
  • •Contributed to faster feedback loops by leveraging AI tools for debugging production issues, generating test scenarios, and documenting system behavior across configuration, data, and runtime layers.
    • MarqVision, Backend Developer
    05/2020 – 09/2022 | Los Angeles, CA
  • •Built high-performance storefronts and merchant dashboards using React, Next.js, TypeScript, Redux, Zustand, React Query, and server-side rendering to support thousands of concurrent shoppers.
  • •Designed and implemented backend microservices in Node.js, Elixir/Phoenix, Absinthe, and Python (FastAPI) for catalog management, pricing, promotions, checkout, and order orchestration, improving order-processing reliability and reducing latency for customer transactions.
  • •Architected real-time inventory and pricing systems using PostgreSQL, Redis, DynamoDB, Kafka, and event-driven microservices to ensure consistency across storefronts, warehouses, and third-party logistics providers.
  • •Developed GraphQL and REST APIs powering merchant tools, storefront rendering, and partner integrations, improving API performance and reducing latency across global regions.
  • •Built serverless functions on AWS Lambda for high-volume workloads including cart updates, tax calculations, and fraud-detection triggers, enabling near-real-time transaction processing and lowering compute costs.
  • •Improved checkout performance by 35% through caching strategies, query optimization, and distributed session management.
  • •Created internal SDKs in TypeScript and Python for partner developers to integrate with BigCommerce’s commerce engine, reducing integration time and improving developer adoption.
  • •Enhanced platform reliability with OpenTelemetry tracing, structured logging, and automated CI/CD pipelines using GitHub Actions and CircleCI.
  • •Collaborated with product, design, and SRE teams to launch three new merchant features and improve storefront load time, maintaining 99.9% uptime during peak retail events.
    • Google, Frontend Developer
    04/2018 – 04/2020 | Lubbock, TX
  • •Built high-performance, responsive web applications using React, Next.js, TypeScript, and modern JavaScript, improving load times, interactivity, and overall user experience across multiple Google product surfaces.
  • •Collaborated with UX/UI designers, product managers, and accessibility teams using Figma and Google’s internal design system to deliver intuitive interfaces that met performance and accessibility standards, resulting in higher user satisfaction.
  • •Optimized frontend performance through code splitting, lazy loading, tree-shaking, bundle analysis, and build-level optimizations, reducing initial load times and improving Lighthouse scores.
  • •Integrated frontend applications with backend services using REST APIs, GraphQL, and WebSockets, enabling seamless real-time data flow and interactive user experiences.
  • •Implemented component-driven architecture using reusable UI patterns, Storybook, and internal Google tooling to improve consistency and velocity.
  • •Strengthened application reliability through unit testing, integration testing, and end-to-end testing using Jest, Cypress, and internal Google test frameworks.
  • •Improved developer workflows by contributing to internal libraries, shared UI components, and build tooling, reducing onboarding time and improving cross-team collaboration.
    • Google, Software Engineering Intern
    01/2018 – 03/2018 | Lubbock, TX
  • •Supported development of internal full-stack tools with Python (FastAPI), Java, and JavaScript, adding new API endpoints and UI features that enabled engineers to automate routine tasks.
  • •Assisted in building backend components on GCP using Cloud Functions and Pub/Sub, creating data-processing workflows and internal APIs that reduced manual data handling for operations teams.
  • •Developed React and TypeScript UI components for internal dashboards, fixing layout bugs and improving usability, which shortened the time users spent navigating the dashboards.
  • •Performed testing and debugging with pytest and conducted code reviews in GitHub, catching defects early and maintaining compliance with Google engineering standards.
  • •Learned scalable system design and distributed architecture principles through mentorship, applying them to design a real-time WebSocket service prototype that demonstrated feasibility for future projects.
  • •Improved developer workflows by updating internal documentation, refining build scripts, and contributing to shared libraries used across multiple teams.
    • Education
    Bachelor's, Computer Science, Texas Tech University
    01/2013 – 12/2017 | Lubbock, TX
    Certificates
    Google Advanced Data Analytics Certificate
    Google AI / Generative AI Skill Badges
    IBM Generative AI Engineering Certificate