Levon Zhao · AI / ML Engineer

I Focus on Game & AI.

Part-time AI Fellow at Handshake AI, evaluating frontier models. Previously built anomaly detection and agentic analytics at Activision Blizzard.

Professional credentials

Cloud · Data & AI · Deployment · Finance

Cloud Computing

AWS Certified Machine Learning — Specialty

AWS Certified Cloud Practitioner

Data & AI

Databricks Certified Data Engineer Associate

NVIDIA Agentic AI · 3 certificates

Building RAG Agents with LLMs Rapid Application Development with LLMs LLM Applications with Prompt Engineering

Deployment & Finance

Certified Kubernetes Application Developer (CKAD)

Passed Level I of the CFA Program

Selected work

All projects

Microsoft Gaming AI Project

At Activision Blizzard, built a PB-scale anomaly-detection and agent-assisted investigation system for 50+ live-service KPIs, reducing analyst response latency by 40%+. Productionized daily ML workflows from detection to reporting.

Databricks
Airflow
RAG
Agentic AI
ML Workflow

Case study

YOLO-KAN Research

First-authored an IEEE CAI 2025 short paper integrating KAN modules into YOLOv11n for Microsoft COCO object detection. The best KAN-2-5 configuration reached 65.83% precision (+1.84 pp over the 63.99% baseline) while reducing network depth from 319 to 299 layers.

YOLOv11
KAN
PyTorch
Microsoft COCO
IEEE CAI 2025

Research

AI Companion

LIVE

An English, source-linked voice and text companion that follows visitors across the portfolio and answers focused questions about my experience, research, and projects.

Next.js
LiveKit
Gemini
Voice AI
Source-linked

Open companion

Education

Georgia Tech MSCS (AI)GPA 3.88 / 4.00

NVIDIA Sponsored Agentic AI · Artificial Intelligence · Game AI · Game Design & Development · GPU Hardware & Software · Machine Learning for Trading

Degree audit (PDF)

Northeastern MSCSGPA 3.97 / 4.00

Data Visualization & GenAI · Distributed Systems · Cloud Computing · Deep Learning Research

Unofficial transcript (PDF)

Original site: Legacy Blog