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Christopher Bentson

Available to hire

Hi, I'm Christopher Bentson, a Senior AI Engineer focused on building scalable backend systems and production-ready AI infrastructure.

About

Hi, I’m Christopher Bentson, a Senior AI Engineer focused on building scalable backend systems and production-ready AI infrastructure. Over the past 9+ years I’ve shipped robust software across data pipelines, ML model serving, and multi-tenant LLM platforms, delivering reliable performance on Kubernetes and GPU clusters.

I enjoy owning AI features end-to-end—from data ingestion and model serving to APIs and UI—driving impact for millions of users. I’ve led end-to-end RAG pipelines, tool integrations with Claude and OpenAI for agentic workflows, and collaborated across product and design to ship practical AI solutions.

  • 9 years' experience
  • Joined July 2026

Industry experience

  • Computers & Electronics
  • Media & Entertainment
  • Retail
  • Software & Internet
  • Professional Services

Work experience

Senior AI Engineer · DigitalOceanSep 2022 – May 2026 · 3 yrs 9 mos

Led the development of a multi-tenant LLM inference platform on Kubernetes serving 10+ foundation models and millions of monthly requests; improved GPU utilization from ~45% to ~70% through autoscaling and request queuing. Owned end-to-end RAG feature from Kafka ingestion to Kubernetes embedding jobs, vector store, and Python/gRPC services, plus a React UI, enabling quick onboarding for new tenants.

ML Platform Engineer · Crocs, IncMar 2020 – Aug 2022 · 2 yrs 6 mos

Built backend services powering ML-driven product recommendations and dynamic merchandising across Crocs' global storefronts; implemented real-time Kafka pipelines combining behavioral, product, and transactional signals to feed personalization systems; achieved sub-300ms P95 latency backed by Redis caching and Docker/Terraform deployments on AWS.

Software Engineer · WalmartJul 2016 – Mar 2020 · 3 yrs 9 mos

Developed backend services for search ranking and dynamic pricing, exposing structured data consumed by ML models for relevance and demand forecasting; built event-driven Kafka pipelines for near real-time feature feeds and partnered with data science to productionize models and support high-traffic storefronts.

Education

Bachelor of Science · The University of Texas at Austin2010 – 2015

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