Open to the right opportunity

Marcus Chong

Software Engineer — Artificial Intelligence

I build computer vision systems, ML infrastructure, and full-stack AI applications — turning research into reliable, production-grade software.

Marcus Chong
7+ Years of
Experience
Scroll

A developer who
sweats the details

I'm a software engineer specialising in artificial intelligence and computer vision, based in Long Beach, California. Over the past 7+ years I've worked across the full stack — from low-level network systems to production ML pipelines — with a focus on shipping AI that actually works in the real world.

At Boeing, I've developed computer vision tooling with 98% detection accuracy, architected enterprise ML infrastructure, and co-authored internal research that was presented at the Boeing Internal Conference. I care about the unglamorous details: robust pipelines, thorough testing, and documentation that teams can actually rely on.

Outside of work I run a home lab, contribute to open source, and stay sharp on the latest in systems design and applied ML. If it involves building something with real constraints and real stakes, I'm interested.

Tech I work with

  • Python
  • AI & ML
  • React & Full-Stack Dev
  • REST APIs, Data & RAG Pipelines
  • Docker, Kubernetes, & CI/CD
  • PostgresSQL, MongoDB & AWS S3
  • UDP/IP & TCP/IP

Where I've worked

01

Software Engineer — Artificial Intelligence

Boeing

Mar 2022 — Present Long Beach, CA

Building AI and computer vision systems for automated parts inspection, ML infrastructure, and full-stack data pipelines. Working at the intersection of applied research and production engineering.

  • Developed computer vision tool for automated parts detection achieving 98% accuracy with 0.5–3s processing times
  • Reduced inspection reporting time by 67% through AI-powered automation
  • Co-authored Boeing Internal Research paper; presented at Boeing Internal Conference (2025) with 4 abstracts approved for 2026
  • Built RAG-powered chatbot enabling visual part inspection via vector database queries for defect detection and documentation retrieval
  • Developed full-stack React data acquisition app with a pipeline covering frame extraction, audio separation, Faster Whisper speech-to-text, OCR, and YOLOv8 object detection — metadata in MongoDB, objects in AWS S3
  • Architected enterprise ML infrastructure using Voxel51, accelerating team AI/CV workflows
  • Created middleware policy decision point (PDP) managing US Export access controls across international boundaries
  • Managed multiple team servers with full-stack deployments; configured Nginx reverse proxy, routing, and database architecture
PythonYOLOv8ReactRAGVoxel51DockerMongoDBAWS S3NginxCI/CDREST APIs
02

Software Engineer — Network & Cyber Systems

Boeing

Jan 2019 — Feb 2022 Huntington Beach, CA

Focused on network systems engineering — designing messaging frameworks, simulation environments, and performance optimisation across complex network topologies.

  • Deployed unified messaging framework combining UDP speed with TCP reliability
  • Architected network simulation capabilities for testing software across diverse topologies
  • Analysed network performance bottlenecks and optimised message delivery systems
TCP/IPUDP/IPActiveMQNetwork SimulationC++

What colleagues say

Let's work
together

Have a project in mind, a role to fill, or just want to connect? Drop me a message and I'll get back to you within 24 hours.

Message received! I'll be in touch soon.