Available to hire
I’m Alfred Fox, a Senior Full-Stack and AI/ML engineer with 15+ years of building scalable web, data, and cloud solutions. I blend software engineering with AI/ML to deliver practical, data-driven products and robust ML operations across cloud-native stacks.
I enjoy leading cross-functional teams, shipping clean code, and turning complex analytics into intuitive experiences—from real-time dashboards to GenAI-enabled solutions. I’m passionate about translating business needs into scalable architectures and measurable outcomes.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Work Experience
Senior Full stack, AI/ML Engineer at RTA Fleet
September 1, 2025 - September 1, 2025Led migration from legacy system to a modular web app using Vue.js and React micro-frontends with real-time vehicle telemetry via Kafka and Go-based pipelines; improved data throughput by 50% and reduced dashboard latency by 30%. Built ML pipelines in Python with AWS SageMaker and Hugging Face Transformers, boosting failure-detection accuracy by 25% and ensuring data governance compliance. Integrated TensorFlow.js CV for real-time anomaly detection on fleet cameras, cutting incident response time. Deployed five AI models on Kubernetes with Helm; enhanced GenAI workflows via LangChain and RAG. Rolled out AI-driven analytics with bias-detection pipelines, achieving 93% accuracy in automated call summarization. Led CI/CD and MLOps practices, enabling faster, reliable deployments.
Senior Software Engineer at Plexus
July 1, 2024 - July 1, 2024Developed and maintained scalable React, Next.js, Node.js, and .NET Core APIs for ambassador and customer portals; reduced load times by 35% through performance tuning, code splitting, and API optimization. Integrated GraphQL and RESTful APIs for order tracking, dashboards, and inventory; connected Salesforce CRM and HubSpot automation to improve lead tracking. Built Ambassador Dashboard features with performance tracking, rank progression, and commission visibility; introduced serverless functions for referrals. Automated deployments with GitHub Actions and AWS CodePipeline; containerized with Docker + ECS; provisioned with Terraform. Implemented Snowflake data warehousing and Power BI dashboards; reduced data latency from 24 hours to 1 hour.
Senior Full Stack / AI Engineer at Nextiva
December 1, 2022 - December 1, 2022Architected and delivered an Analytics Platform unifying 7 product lines via module federation in React + TypeScript, enabling single-pane visibility across 2M+ daily calls; eliminated data silos and drove upsell revenue. Reduced application latency by 25% through end-to-end performance overhaul; migrated 40+ services to AWS EKS with Docker + Helm, Istio, and Kubeflow, achieving 99.99% uptime. Built real-time dashboards with Weaviate vector search and Node.js gateways; improved executive query response from 8s to <800ms. Led ML inference pipelines (Python/Node) with MLflow for model versioning and A/B testing; established CI/CD for ML with Azure DevOps + GitHub Actions. Delivered Voice AI Insights MVP (V2) early and supported 18% MoM analytics adoption.
Lead Software Engineer at Nextiva
March 1, 2019 - March 1, 2019Led the global migration from a PHP monolith to microservices on Kubernetes, decomposing 1M+ lines of code into 12 Go/Node.js services; achieved zero-downtime releases and reduced deployment risk by 85%. Orchestrated cross-continental teams (US, Kyiv, Singapore) with RFC-driven governance, reducing cross-team blockers by 60%. Implemented Kafka + Redis for event streaming, React + TypeScript SPAs, and FastAPI ML inference gateways handling 1M+ concurrent sessions with P99 latency < 80ms. Implemented CI/CD for ML via Azure DevOps + GitHub Actions, model versioning with MLflow, and A/B testing with feature flags. Migrated analytics from MySQL to Snowflake + GCP Bigtable with Python ETLs, improving query performance by 40% and cutting compute costs by 22%. Mentored 15 engineers to senior levels and rolled out Storybook-driven component libraries, driving 99.99% reliability.
Full Stack Developer at Nextiva
February 1, 2017 - February 1, 2017Built 15+ client-facing full-stack applications using Python (Django/Flask), Go microservices, and React + TypeScript frontends; real-time data streams via Kafka; achieved sub-100ms P95 latency and 99.9% uptime. Drove SEO and performance improvements with semantic HTML and modular CSS, boosting organic traffic and Lighthouse scores. Mentored junior engineers and led cross-functional projects to deliver HIPAA-aware, scalable software on AWS.
Education
Master of Data Science at Arizona State University
June 1, 2017 - April 1, 2019Bachelor of Computer Science at Arizona State University
August 1, 2006 - May 1, 2010Qualifications
Hands-on development in AWS
November 8, 2025 - November 23, 2025Linkedin certification
Industry Experience
Software & Internet, Telecommunications, Professional Services
One of my most impactful projects was architecting and delivering a Voice AI Insights Platform, which merged scalable backend services, real-time voice analytics, and GenAI-driven automation.
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