# Richard Luo

> Tech Lead, Agentic AI | Senior AI Modeling Engineer

## Summary
Senior AI Modeling Engineer at T-Mobile serving as Tech Lead for the Innovation Pod under the IntentCX program, translating research into production ML systems and collaborating with OpenAI engineers to build large-scale agentic AI. MS in Computer Science (Machine Learning) from Georgia Tech.

## Education
- **Master of Science in Computer Science** (Machine Learning) — Georgia Institute of Technology

## Experience
### Senior AI Modeling Engineer — T-Mobile (IntentCX – Innovation Pod)
*October 2025 - Present*
Serving as Tech Lead for the Innovation Pod, driving technical architecture and development for IntentCX.
- Tech Lead for the Innovation Pod under IntentCX, architecting agentic AI workflows and LLM-driven modeling systems.

### Software Engineer — TikTok (Data Trust and Safety - Video Safety)
*June 2024 - October 2025*
Engineered backend services and data pipelines for video safety within the Data Trust and Safety organization.
- Engineered backend infrastructure and real-time data pipelines for video trust and safety compliance.

### Software Engineer Intern — Amazon Web Services (AWS) (CloudFront Platforms Team)
*May 2023 - August 2023*
Engineered distributed host inventory infrastructure and operator dashboards for the CloudFront Platforms team.
- Redesigned CloudFront's worldwide host/server inventory system to be more resilient, performant, and scalable across tens of thousand worldwide locations.
- Improved critical endpoint speed by 47% using concurrency to eliminate timeout issues and increase service availability and host recovery abilities.
- Eliminated throttling issues by reducing AWS API calls by 50%.
- Improved service visibility for operators by creating a dashboard that monitors error rates, CloudWatch alarms, and other key metrics.

## Publications & Research
- [Shotluck Holmes (ACM Multimedia, 2025)](https://doi.org/10.1145/3689091.3690086): Outperformed prior Shot2Story captioning/summarization baselines with a smaller, compute-efficient shot-aware LLVM. ACM Multimedia 2025. [Code](https://github.com/Skyline-9/Shotluck-Holmes)
- [Joint Moment Retrieval & Highlight Detection (arXiv, 2023)](https://www.alphaxiv.org/abs/2305.04961): One multimodal transformer that retrieves the exact moments and detects the best highlights from a natural-language query—search and summarization in one pass. arXiv 2023. [Code](https://github.com/Skyline-9/Visionary-Vids)

## Selected Projects & Builds
- [HokusAI](https://devpost.com/software/hokusai): 1st-place hackathon winner: a WebXR text-to-art experience that turns prompts into generated artwork using CLIP + VQGAN. Deployed end-to-end with Firebase and a Colab GPU backend. ([Web repo](https://github.com/HokusAI-Art/HokusAI-WebApp), [Server repo](https://github.com/HokusAI-Art/HokusAI-Server))
- [Sketch2Drawings](https://github.com/Skyline-9/sketch2drawings): Transforms black-and-white sketches into colorized drawings with paired image-to-image translation using cGANs. Canny-edge preprocessing creates clean training pairs for consistent outputs.

## Core Skills & Domains
- Agentic AI
- Large Language Models
- Multimodal Machine Learning
- Computer Vision
- Deep Learning
- Software Engineering

## Links & Contact
- Website: https://skyline-9.github.io
- GitHub: https://github.com/Skyline-9
- LinkedIn: https://www.linkedin.com/in/richardluorl
- Google Scholar: https://scholar.google.com/citations?user=Z-u5rZQAAAAJ&hl=en
- Instagram: https://www.instagram.com/shotsbyrichardluo/
- Email: luo.richard@gmail.com