Teams at Paperless Parts, Inc.

Entry-level Platform Engineer responsible for building and maintaining scalable, secure AWS-based infrastructure using Terraform, improving CI/CD pipelines (Jenkins), creating Datadog monitoring dashboards, writing automation scripts (Python/Bash), working with Docker, and participating in sprint and on-call duties while learning from senior engineers.

Build and maintain full-stack features across Python backends and React frontends, design secure APIs, apply AI tools across the SDLC, mentor engineers, improve testing/observability, and collaborate with product and design to deliver scalable, production-ready systems.

Lead a small ML engineering pod to turn research into production: design and operationalize training pipelines and low-latency inference services for computer vision, document intelligence, and predictive models. Drive R&D execution, benchmarking, prototyping, migrations from frontier models to fine-tuned/open-source solutions, and mentor early-career engineers while aligning research with product timelines.